allenai/openscilm_queries · Datasets at Hugging Face

query stringlengths 10 9.4k	Query Intents stringclasses 8 values	Subject stringclasses 182 values
Describe mouse models of surgical stress	Literature Understanding	medicine
Cross Cultural research about different types of rules in the workplace	Literature Understanding	business
AI can use various algorithms for assessing the effectiveness of basic education, including both machine learning and deep learning methods. The choice between them often depends on the specific goals and data available. Machine Learning Algorithms: Decision Trees: Useful for classification and regression tasks, allowing for interpretable results. Random Forests: An ensemble method that improves accuracy by combining multiple decision trees. Support Vector Machines (SVM): Effective for classification problems, especially with high-dimensional data. K-Nearest Neighbors (KNN): A simple algorithm that can help with classification based on similarity. Deep Learning Algorithms: Neural Networks: Particularly effective for tasks with large amounts of data, such as image or text analysis (e.g., student essays). Convolutional Neural Networks (CNNs): Great for analyzing visual data, which can be useful for tracking student engagement through video analysis. Recurrent Neural Networks (RNNs): Useful for sequential data analysis, like assessing the progression of student learning over time. In summary, machine learning algorithms are typically easier to implement and interpret, making them suitable for straightforward educational assessments. Deep learning algorithms can provide more sophisticated analysis when dealing with large datasets or complex patterns but require more computational resources. The choice depends on the complexity of the assessment task and the data at hand. Would you like to dive deeper into any specific algorithm?	Other	computer science
did anyone before investigated the techno-economic and life cycle GHG of e-fuel production worldwide?	Literature Understanding	environmental science
Boundary improvement for deep learning segmentation model. Check approaches used in HQ-SAM, dichotomous image segmentation, in high quality image matting and salient object detection, background removal research too.	Literature Understanding	computer science
impact of social media in marketing focusing on cafe	Literature Understanding	business
Please help me find articles related to AI agents using and analyzing user language features and contextual features to make a comprehensive decision	Paper Finding	computer science
What is the performance of quantized multiplier in FIR filter?	Literature Understanding	engineering
could you give me references of graph theory metrics to compute resilience and robustness in a transport network	Paper Finding	engineering
how accurate should be the placement of DBS probes to successfully treat Parkinson's disease?	Literature Understanding	medicine
how Pseudomonas syringae pathogen can affect in tomato plant physiological parameters such as leaf transpiration rate , stomatal conductance , nitrate concentration in leaves, total amino acids content in phloem sap , guard cells apoplast pH , and potassium content in apoplast and cytoplasm of guard cells .?	Literature Understanding	biology
find papers on a topic hybrid battery	Paper Finding	engineering
What is the policy landscape for alcohol use in the united states?	Literature Understanding	social sciences
Does using mouthwash help to prevent gum disease?	Literature Understanding	medicine
What is lignin solubility	Literature Understanding	chemistry
Hence 5G and beyond networks requires a reliability-latency-scalability network architectures that can seamlessly integrate with various forms of communication and smart technologies	Other	computer science
find papers that discuss the experimental nature of Oostvaardersplassen rewilding.	Paper Finding	biology
summarize the latest research findings on e-commerce impacts on regional vehicles miles traveled and greenhouse gas emissions	Literature Understanding	environmental science
papers on human detection of llm hallucination	Paper Finding	computer science
One major driving force is the popularity of pre-trained language models, where the underlying semantic of the data can be effectively encoded by such pow- erful text encoders	Other	computer science
ADHD masking in children	Literature Understanding	psychology
Please explain the method price action for trading	Literature Understanding	finance
What are some recent developments in comparing the accuracy of deepfake detection algorithms?	Literature Understanding	computer science
pulsar signal chotic behaviour	Literature Understanding	physics
I'm looking for a paper from the last few years on building circuit hardware based on majority gates, which cites a paper by Merrill and Sabharwal on how transformers are threshold circuits. Can you give me a list of all such papers?	Paper Finding	computer science
Are there fine-grained image recognition models capable of recognizing objects based on multiple images taken from different angles (e.g., photos of the same bird from various perspectives)?	Literature Understanding	computer science
find SOTA Reranker model on multi-hop RAG data such as HotpotQA, 2wikitq, musique so on.	Paper Finding	computer science
Is it difficult to directly let a MLLM understand the user interface?	Literature Understanding	computer science
Find papers on sentiment analysis, where two dimensions (strength of the sentiment and polarity of the sentiment) are considered.	Paper Finding	computer science
The collaborative distribution of microplastics and organic pollutants in karst areas of Slovenia has been studied, and it is found that tourism activities are one of the important sources of organic pollution in underground rivers	Other	environmental science
In hci, what are some tasks in AI that need human intervention? I’d like to find some classic examples in the literature	Literature Understanding	computer science
In recent years, high-performance prediction of DTI has become an extremely important issue in drug discovery research (). To address this issue, machine learning methods based on GNNs have been attracting attention in recent years, because GNNs can learn information inherent in vertices and edges by representing compounds and proteins as graph structures, and have been reported as a promising method for the prediction of drug-target protein interactions (). In particular, GNN does not require highly accurate protein conformational information as in docking simulations, and thus has the potential to be applied to target proteins whose conformations are not yet known or whose conformational accuracy is low. However, there have been no DTI prediction studies focusing on proteins that are difficult to predict by docking simulations, taking advantage of this feature of GNNs. In addition, although the quality of training data is extremely important for DTI prediction, there are only a limited number of methods to examine negative data, which are considered to have no interaction, and to improve the reliability of the data before training them into GNNs. Furthermore, after obtaining interaction prediction results from GNNs, there are no studies that analyze these candidate interactions on the network structure to narrow down the list of more reliable interaction candidates. In general, drug-target interactions form complex networks, suggesting that it is beneficial to consider the broader network structure rather than simply predicting pairs (). Translated with DeepL.com (free version)	Other	computer science
tell me studies on precognition or future-telling.	Paper Finding	psychology
CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs	Other	computer science
News media organizations (hereafter the media) have gone through revolutionary changes over the past few decades that resulted in the decline of traditional newspapers and rise of the online media	Other	social sciences
Attitude of Pregnant Women towards the Use of LLITNs	Literature Understanding	medicine
The reverse design problem of materials	Literature Understanding	engineering
Can you suggest papers that study the characteristics and composition of the information environment?	Paper Finding	computer science
Can you list papers that present methods for extending the context length of CLIP models?	Paper Finding	computer science
Dataset Integration Strategy 1. FDA Announcements as Exogenous Shocks • Data Collection: o Scrape FDA announcements (approvals, rejections, holds) from the FDA website or use APIs like fda.gov. o Include metadata such as announcement date, drug name, company, and type of decision. • Integration: o Map FDA announcements to the corresponding publicly traded companies. o Use the announcement date as the event date for event studies. 2. 10-K Textual Risk Disclosures • Data Collection: o Download 10-K filings from the SEC EDGAR database. o Focus on the "Risk Factors" section. • NLP Processing: o Use pre-trained models (e.g., BERT, FinBERT) to extract sentiment and medical/pharmaceutical terminology. o Identify key risk factors (e.g., clinical trial risks, regulatory risks, patent expirations). 3. Insider Trading Patterns • Data Collection: o Use datasets from platforms like Bloomberg, Thomson Reuters, or SEC Form 4 filings. • Integration: o Map insider trading activities to the corresponding companies and FDA announcements. o Use insider trading data as a potential signal of information asymmetry. 4. Control Variables • Industry-Specific Factors: o Include variables like R&D expenditure, pipeline size, and patent expirations. • Market-Wide Movements: o Control for market indices (e.g., S&P 500, NASDAQ) and macroeconomic factors (e.g., interest rates, inflation).	Literature Understanding	finance
find me papers on KV cache	Paper Finding	computer science
Ranking Cities based on Urban Heat Island Impacts using AI and Satellite Maps	Ideation	environmental science
Find the related paper about alkali activated slag for concrete	Paper Finding	engineering
What is the prevalence and factors associated with anxiety and depression in adolescents	Literature Understanding	psychology
1] Li X, Liu Y. Revisiting the Role of 'Substantial Progress' in China's Patent Law: A Comparative Perspective[J]. World Patent Information, 2020, XX(X): XX-XX.	Other	social sciences
bias adjustment and correction of rainfall, methods, techniques and tutorials using python	Literature Understanding	physics
find papers on crispr cas 9 and loss of function mutation	Paper Finding	biology
ai agents on workflow automation	Paper Finding	computer science
applying llm to games	Literature Understanding	computer science
What are the Key Models and Methodologies used in sustainable inventory management?	Literature Understanding	business
Locate and edit factual association	Literature Understanding	computer science
image registration methods better than matchformer	Literature Understanding	computer science
the effect of salinity or the abiotic stress on The PDV2 (Plastid Division 2) gene	Literature Understanding	biology
list top concept in GUI agent area, and explain those in simple words	Literature Understanding	computer science
the importance of evaluating of hand,foot and mouth disease pathogens	Literature Understanding	medicine
how to address chart understanding problems? LVLMs seem to be very bad at it	Literature Understanding	computer science
is rpm an effective tool for managing chf	Literature Understanding	medicine
1.4.1 Lipid-Based Nanocarriers III.A.1. Liposomes (Structure, advantages for quercetin encapsulation, examples in quercetin delivery) III.A.2. Solid Lipid Nanoparticles (SLNs) and Nanostructured Lipid Carriers (NLCs) (Composition, improved stability, examples and applications) III.A.3. Nanoemulsions and Microemulsions (Formation, enhanced solubility and absorption, quercetin delivery examples) write content	Literature Understanding	medicine
new studies about multi objective optimization using deep learning tech	Paper Finding	computer science
use masked autoencoder to extract physical knowledge	Literature Understanding	computer science
Find papers discussing user's evolving intents throughout a certain task	Paper Finding	computer science
can you suggest papers on digital learning	Paper Finding	education
The mechanisms through which beta-blockers exert their negative effects on sexual function are multifaceted. Scholars have proposed several pathways that collectively contribute to the problem. Physiologically, non-selective beta-blockers can inhibit the sympathetic nervous system pathways necessary for achieving and maintaining an erection (Corradetti et al., 2022).	Other	medicine
link between gerrymandering and social choice theory	Literature Understanding	social sciences
sequencing mapping quality calcuation	Literature Understanding	biology
changes in the magnetic properties of FeSe/STO	Literature Understanding	physics
Looking for papers on the periodic strategies algorithm	Paper Finding	computer science
you know the paper studying the end to end performance, energy consumption, and carbon footprint of fog applications?	Paper Finding	computer science
Future work: evaluation of the effectiveness of human-model collaboration	Other	computer science
who are the greatest biofortification specialists in Brazil?	Literature Understanding	agriculture
Give me papers that show that errors in the parse quality of a document can have impact on information extraction	Paper Finding	computer science
any studies suggesting RL fine-tuning changes (LLM) representations slower than supervised fine-tuning?	Paper Finding	computer science
can you please help me find some paper about the definition of condition mutual information and mutual information?	Paper Finding	information science
Do you have a paper showing that convolutional neural networks are inspired by the human visual system?	Paper Finding	computer science
Model-oriented task planning and control decision making in Embodied intelligent robots	Literature Understanding	robotics
Please explain the endocrinology of birds.	Literature Understanding	biology
What is political ecology?	Literature Understanding	environmental science
what is the latest advance in detecting fake product reviews?	Literature Understanding	computer science
latest review articles on staphylococcus aureus treatment?	Paper Finding	medicine
Could you please explain the cell division mechanism of C. necator?	Literature Understanding	biology
active learning framework where the dimensions are interpretable	Literature Understanding	computer science
Summarize the following paper: "Choueiri, Edgar Y. "Optimal crosstalk cancellation for binaural audio with two loudspeakers." Princeton University 28 (2008)."	Paper Understanding	engineering
Is there any discrepancy in reported phenomenon with GTP-cap hypothesis of microtubule dynamic instability?	Literature Understanding	biology
enhance user experience & multimedia adaptation	Literature Understanding	computer science
can you find studies on the impact of 'loss adverse bias' on decitions focus on examples and explanations	Paper Finding	psychology
cultural difference about relationships between bullying and psycho-social adjustment in papers using meta analysis	Paper Finding	psychology
Traffic Congestion Model and production logistics	Literature Understanding	math
How can we leverage LLMs to identify code comment violations to ensure that code comments follow the style guidelines?	Literature Understanding	computer science
Certainly! Based on the background you provided, here's a novel and valid research topic: "Exploring Photoredox Catalysis for Controlled Three-Component Cycloadditions Involving Phosphorus Ylides: A Strategy to Functionalize C–H and C=P Bonds Toward Versatile Synthetic Building Blocks" This topic combines the efficiency of photoredox catalysis with the latent reactivity of phosphorus ylides, aiming to develop a highly selective and efficient method for transforming inert C–H and C=P bonds into synthetically useful C–C and C=C bonds. It addresses the challenge of controlling multicomponent reactions under mild conditions while expanding the synthetic toolbox for creating diverse molecular architectures.	Ideation	chemistry
Give me a paper on EV of mesenchymal stem cells	Paper Finding	biology
architectural design of university intermediate spaces on user presence	Literature Understanding	architecture
Please introduce a benchmark dataset for answering questions about road conditions and signs from in-vehicle footage.	Literature Understanding	computer science
Give me a literature review of the models that have given rise to reasoning LLMs such as GPT o1. Include all relevant background papers and a description of the underlying technical advances	Literature Understanding	computer science
How many bits are bytes?	Literature Understanding	computer science
The ability to apply large-scale machine learning and reasoning-based approaches to social data depends on access to well-organized, high-quality datasets. However, centralizing such data, especially in the case of registries, introduces significant ethical and governance challenges. Find work that I can cite for the above claim	Paper Finding	computer science
history of migration in africa	Literature Understanding	social sciences
Provide me with literature discussing the interaction of differential privacy and fairness	Paper Finding	computer science
Research on used cooking oil	Literature Understanding	environmental science
Do a research on these LLMs: Llama 3.1, Mistral Large, Qwen 72B, and summarize the results into a table with the following necessary columns: Name, Released month/year, Number of parameters, Preference learning method (such as RLHF, DPO, etc.)	Literature Understanding	computer science
total data size as a indicator of volume -Big data	Literature Understanding	computer science

Describe mouse models of surgical stress

Literature Understanding

medicine

Cross Cultural research about different types of rules in the workplace

Literature Understanding

business

AI can use various algorithms for assessing the effectiveness of basic education, including both machine learning and deep learning methods. The choice between them often depends on the specific goals and data available. Machine Learning Algorithms: Decision Trees: Useful for classification and regression tasks, allowing for interpretable results. Random Forests: An ensemble method that improves accuracy by combining multiple decision trees. Support Vector Machines (SVM): Effective for classification problems, especially with high-dimensional data. K-Nearest Neighbors (KNN): A simple algorithm that can help with classification based on similarity. Deep Learning Algorithms: Neural Networks: Particularly effective for tasks with large amounts of data, such as image or text analysis (e.g., student essays). Convolutional Neural Networks (CNNs): Great for analyzing visual data, which can be useful for tracking student engagement through video analysis. Recurrent Neural Networks (RNNs): Useful for sequential data analysis, like assessing the progression of student learning over time. In summary, machine learning algorithms are typically easier to implement and interpret, making them suitable for straightforward educational assessments. Deep learning algorithms can provide more sophisticated analysis when dealing with large datasets or complex patterns but require more computational resources. The choice depends on the complexity of the assessment task and the data at hand. Would you like to dive deeper into any specific algorithm?

Other

computer science

did anyone before investigated the techno-economic and life cycle GHG of e-fuel production worldwide?

Literature Understanding

environmental science

Boundary improvement for deep learning segmentation model. Check approaches used in HQ-SAM, dichotomous image segmentation, in high quality image matting and salient object detection, background removal research too.

Literature Understanding

computer science

impact of social media in marketing focusing on cafe

Literature Understanding

business

Please help me find articles related to AI agents using and analyzing user language features and contextual features to make a comprehensive decision

Paper Finding

computer science

What is the performance of quantized multiplier in FIR filter?

Literature Understanding

engineering

could you give me references of graph theory metrics to compute resilience and robustness in a transport network

Paper Finding

engineering

how accurate should be the placement of DBS probes to successfully treat Parkinson's disease?

Literature Understanding

medicine

how Pseudomonas syringae pathogen can affect in tomato plant physiological parameters such as leaf transpiration rate , stomatal conductance , nitrate concentration in leaves, total amino acids content in phloem sap , guard cells apoplast pH , and potassium content in apoplast and cytoplasm of guard cells .?

Literature Understanding

biology

find papers on a topic hybrid battery

Paper Finding

engineering

What is the policy landscape for alcohol use in the united states?

Literature Understanding

social sciences

Does using mouthwash help to prevent gum disease?

Literature Understanding

medicine

What is lignin solubility

Literature Understanding

chemistry

Hence 5G and beyond networks requires a reliability-latency-scalability network architectures that can seamlessly integrate with various forms of communication and smart technologies

Other

computer science

find papers that discuss the experimental nature of Oostvaardersplassen rewilding.

Paper Finding

biology

summarize the latest research findings on e-commerce impacts on regional vehicles miles traveled and greenhouse gas emissions

Literature Understanding

environmental science

papers on human detection of llm hallucination

Paper Finding

computer science

One major driving force is the popularity of pre-trained language models, where the underlying semantic of the data can be effectively encoded by such pow- erful text encoders

Other

computer science

ADHD masking in children

Literature Understanding

psychology

Please explain the method price action for trading

Literature Understanding

finance

What are some recent developments in comparing the accuracy of deepfake detection algorithms?

Literature Understanding

computer science

pulsar signal chotic behaviour

Literature Understanding

physics

I'm looking for a paper from the last few years on building circuit hardware based on majority gates, which cites a paper by Merrill and Sabharwal on how transformers are threshold circuits. Can you give me a list of all such papers?

Paper Finding

computer science

Are there fine-grained image recognition models capable of recognizing objects based on multiple images taken from different angles (e.g., photos of the same bird from various perspectives)?

Literature Understanding

computer science

find SOTA Reranker model on multi-hop RAG data such as HotpotQA, 2wikitq, musique so on.

Paper Finding

computer science

Is it difficult to directly let a MLLM understand the user interface?

Literature Understanding

computer science

Find papers on sentiment analysis, where two dimensions (strength of the sentiment and polarity of the sentiment) are considered.

Paper Finding

computer science

The collaborative distribution of microplastics and organic pollutants in karst areas of Slovenia has been studied, and it is found that tourism activities are one of the important sources of organic pollution in underground rivers

Other

environmental science

In hci, what are some tasks in AI that need human intervention? I’d like to find some classic examples in the literature

Literature Understanding

computer science

In recent years, high-performance prediction of DTI has become an extremely important issue in drug discovery research (). To address this issue, machine learning methods based on GNNs have been attracting attention in recent years, because GNNs can learn information inherent in vertices and edges by representing compounds and proteins as graph structures, and have been reported as a promising method for the prediction of drug-target protein interactions (). In particular, GNN does not require highly accurate protein conformational information as in docking simulations, and thus has the potential to be applied to target proteins whose conformations are not yet known or whose conformational accuracy is low. However, there have been no DTI prediction studies focusing on proteins that are difficult to predict by docking simulations, taking advantage of this feature of GNNs. In addition, although the quality of training data is extremely important for DTI prediction, there are only a limited number of methods to examine negative data, which are considered to have no interaction, and to improve the reliability of the data before training them into GNNs. Furthermore, after obtaining interaction prediction results from GNNs, there are no studies that analyze these candidate interactions on the network structure to narrow down the list of more reliable interaction candidates. In general, drug-target interactions form complex networks, suggesting that it is beneficial to consider the broader network structure rather than simply predicting pairs (). Translated with DeepL.com (free version)

Other

computer science

tell me studies on precognition or future-telling.

Paper Finding

psychology

CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs

Other

computer science

News media organizations (hereafter the media) have gone through revolutionary changes over the past few decades that resulted in the decline of traditional newspapers and rise of the online media

Other

social sciences

Attitude of Pregnant Women towards the Use of LLITNs

Literature Understanding

medicine

The reverse design problem of materials

Literature Understanding

engineering

Can you suggest papers that study the characteristics and composition of the information environment?

Paper Finding

computer science

Can you list papers that present methods for extending the context length of CLIP models?

Paper Finding

computer science

Dataset Integration Strategy 1. FDA Announcements as Exogenous Shocks • Data Collection: o Scrape FDA announcements (approvals, rejections, holds) from the FDA website or use APIs like fda.gov. o Include metadata such as announcement date, drug name, company, and type of decision. • Integration: o Map FDA announcements to the corresponding publicly traded companies. o Use the announcement date as the event date for event studies. 2. 10-K Textual Risk Disclosures • Data Collection: o Download 10-K filings from the SEC EDGAR database. o Focus on the "Risk Factors" section. • NLP Processing: o Use pre-trained models (e.g., BERT, FinBERT) to extract sentiment and medical/pharmaceutical terminology. o Identify key risk factors (e.g., clinical trial risks, regulatory risks, patent expirations). 3. Insider Trading Patterns • Data Collection: o Use datasets from platforms like Bloomberg, Thomson Reuters, or SEC Form 4 filings. • Integration: o Map insider trading activities to the corresponding companies and FDA announcements. o Use insider trading data as a potential signal of information asymmetry. 4. Control Variables • Industry-Specific Factors: o Include variables like R&D expenditure, pipeline size, and patent expirations. • Market-Wide Movements: o Control for market indices (e.g., S&P 500, NASDAQ) and macroeconomic factors (e.g., interest rates, inflation).

Literature Understanding

finance

find me papers on KV cache

Paper Finding

computer science

Ranking Cities based on Urban Heat Island Impacts using AI and Satellite Maps

Ideation

environmental science

Find the related paper about alkali activated slag for concrete

Paper Finding

engineering

What is the prevalence and factors associated with anxiety and depression in adolescents

Literature Understanding

psychology

1] Li X, Liu Y. Revisiting the Role of 'Substantial Progress' in China's Patent Law: A Comparative Perspective[J]. World Patent Information, 2020, XX(X): XX-XX.

Other

social sciences

bias adjustment and correction of rainfall, methods, techniques and tutorials using python

Literature Understanding

physics

find papers on crispr cas 9 and loss of function mutation

Paper Finding

biology

ai agents on workflow automation

Paper Finding

computer science

applying llm to games

Literature Understanding

computer science

What are the Key Models and Methodologies used in sustainable inventory management?

Literature Understanding

business

Locate and edit factual association

Literature Understanding

computer science

image registration methods better than matchformer

Literature Understanding

computer science

the effect of salinity or the abiotic stress on The PDV2 (Plastid Division 2) gene

Literature Understanding

biology

list top concept in GUI agent area, and explain those in simple words

Literature Understanding

computer science

the importance of evaluating of hand,foot and mouth disease pathogens

Literature Understanding

medicine

how to address chart understanding problems? LVLMs seem to be very bad at it

Literature Understanding

computer science

is rpm an effective tool for managing chf

Literature Understanding

medicine

1.4.1 Lipid-Based Nanocarriers III.A.1. Liposomes (Structure, advantages for quercetin encapsulation, examples in quercetin delivery) III.A.2. Solid Lipid Nanoparticles (SLNs) and Nanostructured Lipid Carriers (NLCs) (Composition, improved stability, examples and applications) III.A.3. Nanoemulsions and Microemulsions (Formation, enhanced solubility and absorption, quercetin delivery examples) write content

Literature Understanding

medicine

new studies about multi objective optimization using deep learning tech

Paper Finding

computer science

use masked autoencoder to extract physical knowledge

Literature Understanding

computer science

Find papers discussing user's evolving intents throughout a certain task

Paper Finding

computer science

can you suggest papers on digital learning

Paper Finding

education

The mechanisms through which beta-blockers exert their negative effects on sexual function are multifaceted. Scholars have proposed several pathways that collectively contribute to the problem. Physiologically, non-selective beta-blockers can inhibit the sympathetic nervous system pathways necessary for achieving and maintaining an erection (Corradetti et al., 2022).

Other

medicine

link between gerrymandering and social choice theory

Literature Understanding

social sciences

sequencing mapping quality calcuation

Literature Understanding

biology

changes in the magnetic properties of FeSe/STO

Literature Understanding

physics

Looking for papers on the periodic strategies algorithm

Paper Finding

computer science

you know the paper studying the end to end performance, energy consumption, and carbon footprint of fog applications?

Paper Finding

computer science

Future work: evaluation of the effectiveness of human-model collaboration

Other

computer science

who are the greatest biofortification specialists in Brazil?

Literature Understanding

agriculture

Give me papers that show that errors in the parse quality of a document can have impact on information extraction

Paper Finding

computer science

any studies suggesting RL fine-tuning changes (LLM) representations slower than supervised fine-tuning?

Paper Finding

computer science

can you please help me find some paper about the definition of condition mutual information and mutual information?

Paper Finding

information science

Do you have a paper showing that convolutional neural networks are inspired by the human visual system?

Paper Finding

computer science

Model-oriented task planning and control decision making in Embodied intelligent robots

Literature Understanding

robotics

Please explain the endocrinology of birds.

Literature Understanding

biology

What is political ecology?

Literature Understanding

environmental science

what is the latest advance in detecting fake product reviews?

Literature Understanding

computer science

latest review articles on staphylococcus aureus treatment?

Paper Finding

medicine

Could you please explain the cell division mechanism of C. necator?

Literature Understanding

biology

active learning framework where the dimensions are interpretable

Literature Understanding

computer science

Summarize the following paper: "Choueiri, Edgar Y. "Optimal crosstalk cancellation for binaural audio with two loudspeakers." Princeton University 28 (2008)."

Paper Understanding

engineering

Is there any discrepancy in reported phenomenon with GTP-cap hypothesis of microtubule dynamic instability?

Literature Understanding

biology

enhance user experience & multimedia adaptation

Literature Understanding

computer science

can you find studies on the impact of 'loss adverse bias' on decitions focus on examples and explanations

Paper Finding

psychology

cultural difference about relationships between bullying and psycho-social adjustment in papers using meta analysis

Paper Finding

psychology

Traffic Congestion Model and production logistics

Literature Understanding

math

How can we leverage LLMs to identify code comment violations to ensure that code comments follow the style guidelines?

Literature Understanding

computer science

Certainly! Based on the background you provided, here's a novel and valid research topic: **"Exploring Photoredox Catalysis for Controlled Three-Component Cycloadditions Involving Phosphorus Ylides: A Strategy to Functionalize C–H and C=P Bonds Toward Versatile Synthetic Building Blocks"** This topic combines the efficiency of photoredox catalysis with the latent reactivity of phosphorus ylides, aiming to develop a highly selective and efficient method for transforming inert C–H and C=P bonds into synthetically useful C–C and C=C bonds. It addresses the challenge of controlling multicomponent reactions under mild conditions while expanding the synthetic toolbox for creating diverse molecular architectures.

Ideation

chemistry

Give me a paper on EV of mesenchymal stem cells

Paper Finding

biology

architectural design of university intermediate spaces on user presence

Literature Understanding

architecture

Please introduce a benchmark dataset for answering questions about road conditions and signs from in-vehicle footage.

Literature Understanding

computer science

Give me a literature review of the models that have given rise to reasoning LLMs such as GPT o1. Include all relevant background papers and a description of the underlying technical advances

Literature Understanding

computer science

How many bits are bytes?

Literature Understanding

computer science

The ability to apply large-scale machine learning and reasoning-based approaches to social data depends on access to well-organized, high-quality datasets. However, centralizing such data, especially in the case of registries, introduces significant ethical and governance challenges. Find work that I can cite for the above claim

Paper Finding

computer science

history of migration in africa

Literature Understanding

social sciences

Provide me with literature discussing the interaction of differential privacy and fairness

Paper Finding

computer science

Research on used cooking oil

Literature Understanding

environmental science

Do a research on these LLMs: Llama 3.1, Mistral Large, Qwen 72B, and summarize the results into a table with the following necessary columns: Name, Released month/year, Number of parameters, Preference learning method (such as RLHF, DPO, etc.)

Literature Understanding

computer science

total data size as a indicator of volume -Big data

Literature Understanding

computer science