Towards an Understanding of Large Language Models in Software Engineering Tasks
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2308.11396
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Published
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Several categories of Large Language Models (LLMs): A Short Survey
Paper • 2307.10188 • Published • 1 -
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
Paper • 2309.01157 • Published • 1 -
A Survey on Large Language Models for Recommendation
Paper • 2305.19860 • Published • 1 -
A Survey on Model Compression for Large Language Models
Paper • 2308.07633 • Published • 3 -
Reasoning with Language Model Prompting: A Survey
Paper • 2212.09597 • Published • 2 -
Continual Lifelong Learning with Neural Networks: A Review
Paper • 1802.07569 • Published • 1 -
Software Testing with Large Language Model: Survey, Landscape, and Vision
Paper • 2307.07221 • Published • 1 -
Large Language Models Meet NL2Code: A Survey
Paper • 2212.09420 • Published • 1 -
Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning
Paper • 2303.10475 • Published • 2 -
Large Language Model Alignment: A Survey
Paper • 2309.15025 • Published • 2 -
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Paper • 2308.05374 • Published • 27 -
A Comprehensive Overview of Large Language Models
Paper • 2307.06435 • Published • 2 -
A Survey on Large Language Model based Autonomous Agents
Paper • 2308.11432 • Published • 2 -
Pretraining in Deep Reinforcement Learning: A Survey
Paper • 2211.03959 • Published • 1 -
Reinforcement Learning for Generative AI: A Survey
Paper • 2308.14328 • Published • 1 -
The Life Cycle of Knowledge in Big Language Models: A Survey
Paper • 2303.07616 • Published • 1 -
Empirical Analysis of the Strengths and Weaknesses of PEFT Techniques for LLMs
Paper • 2304.14999 • Published • 2 -
Towards a Unified View of Parameter-Efficient Transfer Learning
Paper • 2110.04366 • Published • 2 -
A Survey of Learning-based Automated Program Repair
Paper • 2301.03270 • Published • 1 -
A Comprehensive Analysis of Adapter Efficiency
Paper • 2305.07491 • Published • 1 -
A Practical Survey on Faster and Lighter Transformers
Paper • 2103.14636 • Published • 1 -
Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey
Paper • 2308.01191 • Published • 1 -
The Rise and Potential of Large Language Model Based Agents: A Survey
Paper • 2309.07864 • Published • 7 -
The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry
Paper • 2211.04148 • Published • 1 -
Data Augmentation Approaches in Natural Language Processing: A Survey
Paper • 2110.01852 • Published • 1 -
From Instructions to Intrinsic Human Values -- A Survey of Alignment Goals for Big Models
Paper • 2308.12014 • Published • 1 -
A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges
Paper • 2303.17125 • Published • 1 -
A Bibliometric Review of Large Language Models Research from 2017 to 2023
Paper • 2304.02020 • Published • 1 -
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
Paper • 2109.14545 • Published • 1 -
Continual Learning: Applications and the Road Forward
Paper • 2311.11908 • Published • 1 -
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning
Paper • 2209.14624 • Published • 1 -
A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Paper • 2308.06767 • Published • 1 -
A Brief Review of Hypernetworks in Deep Learning
Paper • 2306.06955 • Published • 1 -
A Survey on Language Models for Code
Paper • 2311.07989 • Published • 21 -
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks
Paper • 2305.09082 • Published • 1 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 45 -
Video Understanding with Large Language Models: A Survey
Paper • 2312.17432 • Published • 2 -
Methods for Pruning Deep Neural Networks
Paper • 2011.00241 • Published • 1 -
Instruction Tuning for Large Language Models: A Survey
Paper • 2308.10792 • Published • 1 -
Neural Architecture Search: Insights from 1000 Papers
Paper • 2301.08727 • Published • 2 -
The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey
Paper • 2401.07872 • Published • 2 -
A Review of Sparse Expert Models in Deep Learning
Paper • 2209.01667 • Published • 3 -
A Unified View of Long-Sequence Models towards Modeling Million-Scale Dependencies
Paper • 2302.06218 • Published • 1 -
A Quantitative Review on Language Model Efficiency Research
Paper • 2306.01768 • Published • 1 -
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
Paper • 2402.01680 • Published • 2 -
LLM Multi-Agent Systems: Challenges and Open Problems
Paper • 2402.03578 • Published