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title
string | arxiv_id
string |
|---|---|
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres
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2305.13617
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Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection
|
2307.12935
|
Pruning Pre-trained Language Models Without Fine-Tuning
|
2210.06210
|
When Does Translation Require Context? A Data-driven, Multilingual Exploration
|
2109.07446
|
Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest
|
2209.06293
|
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
|
2210.14896
|
Being Right for Whose Right Reasons?
|
2306.00639
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Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages
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2305.12182
|
A Theory of Unsupervised Speech Recognition
|
2306.07926
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DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization
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2212.10018
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Diverse Demonstrations Improve In-context Compositional Generalization
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2212.06800
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Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering
|
2212.10375
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On the Efficacy of Sampling Adapters
|
2307.03749
|
Measuring Progress in Fine-grained Vision-and-Language Understanding
|
2305.07558
|
Elaboration-Generating Commonsense Question Answering at Scale
|
2209.01232
|
White-Box Multi-Objective Adversarial Attack on Dialogue Generation
|
2305.03655
|
Few-shot Adaptation Works with UnpredicTable Data
|
2208.01009
|
In-Context Analogical Reasoning with Pre-Trained Language Models
|
2305.17626
|
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
|
2305.15387
|
REV: Information-Theoretic Evaluation of Free-Text Rationales
|
2210.04982
|
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues
|
2305.16798
|
SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval
|
2207.02578
|
From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained
|
2312.06188
|
What Makes Pre-trained Language Models Better Zero-shot Learners?
|
2209.15206
|
Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment
|
2305.12260
|
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
|
2305.04091
|
Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step
|
2306.14050
|
Generating EDU Extracts for Plan-Guided Summary Re-Ranking
|
2305.17779
|
Gradient-based Intra-attention Pruning on Pre-trained Language Models
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2212.07634
|
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation
|
2306.01657
|
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization
|
2212.07672
|
InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation
|
2305.06002
|
HistRED: A Historical Document-Level Relation Extraction Dataset
|
2307.04285
|
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism
|
2212.09086
|
A Survey on Zero Pronoun Translation
|
2305.10196
|
MPCHAT: Towards Multimodal Persona-Grounded Conversation
|
2305.17388
|
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding
|
2305.09148
|
Alleviating Over-smoothing for Unsupervised Sentence Representation
|
2305.06154
|
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding
|
2305.14571
|
Code4Struct: Code Generation for Few-Shot Event Structure Prediction
|
2210.12810
|
Efficient Semiring-Weighted Earley Parsing
|
2307.02982
|
Entity Tracking in Language Models
|
2305.02363
|
WACO: Word-Aligned Contrastive Learning for Speech Translation
|
2212.09359
|
Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations
|
2305.10172
|
Parameter-Efficient Fine-Tuning without Introducing New Latency
|
2305.16742
|
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
|
2204.08582
|
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
|
2211.15029
|
Unified Demonstration Retriever for In-Context Learning
|
2305.04320
|
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships
|
2212.10545
|
Hidden Schema Networks
|
2207.03777
|
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
|
2211.08794
|
Pre-Training to Learn in Context
|
2305.09137
|
Privacy-Preserving Domain Adaptation of Semantic Parsers
|
2212.10520
|
KILM: Knowledge Injection into Encoder-Decoder Language Models
|
2302.09170
|
Tokenization and the Noiseless Channel
|
2306.16842
|
Reasoning with Language Model Prompting: A Survey
|
2212.09597
|
DISCO: Distilling Counterfactuals with Large Language Models
|
2212.10534
|
SCOTT: Self-Consistent Chain-of-Thought Distillation
|
2305.01879
|
Evaluating Open-Domain Question Answering in the Era of Large Language Models
|
2305.06984
|
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
|
2210.04885
|
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training
|
2206.00621
|
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation
|
2305.13776
|
What is the best recipe for character-level encoder-only modelling?
|
2305.05461
|
Dialect-robust Evaluation of Generated Text
|
2211.00922
|
TOME: A Two-stage Approach for Model-based Retrieval
|
2305.11161
|
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings
|
2211.04928
|
Forgotten Knowledge: Examining the Citational Amnesia in NLP
|
2305.18554
|
Measuring the Instability of Fine-Tuning
|
2302.07778
|
Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment
|
2305.05940
|
Long-Tailed Question Answering in an Open World
|
2305.06557
|
Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction
|
2306.11386
|
ContraCLM: Contrastive Learning For Causal Language Model
|
2210.01185
|
Prompting Language Models for Linguistic Structure
|
2211.07830
|
FLamE: Few-shot Learning from Natural Language Explanations
|
2306.08042
|
Fact-Checking Complex Claims with Program-Guided Reasoning
|
2305.12744
|
Patton: Language Model Pretraining on Text-Rich Networks
|
2305.12268
|
Soft Language Clustering for Multilingual Model Pre-training
|
2306.07610
|
Dynamic Transformers Provide a False Sense of Efficiency
|
2305.12228
|
Multi-target Backdoor Attacks for Code Pre-trained Models
|
2306.08350
|
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text
|
2211.11300
|
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
|
2211.05719
|
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models
|
2212.10474
|
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models
|
2306.09308
|
Large Language Models Meet NL2Code: A Survey
|
2212.09420
|
One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
|
2305.17682
|
WebIE: Faithful and Robust Information Extraction on the Web
|
2305.14293
|
Contextual Knowledge Learning for Dialogue Generation
|
2305.18200
|
Text Style Transfer Back-Translation
|
2306.01318
|
Continual Knowledge Distillation for Neural Machine Translation
|
2212.09097
|
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding
|
2209.10918
|
Few-Shot Document-Level Event Argument Extraction
|
2209.02203
|
Towards Understanding and Improving Knowledge Distillation for Neural Machine Translation
|
2305.08096
|
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models
|
2111.00160
|
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?
|
2212.09747
|
Weakly Supervised Vision-and-Language Pre-training with Relative Representations
|
2305.15483
|
RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation
|
2306.07206
|
On “Scientific Debt” in NLP: A Case for More Rigour in Language Model Pre-Training Research
|
2306.02870
|
Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method
|
2305.13412
|
What does the Failure to Reason with “Respectively” in Zero/Few-Shot Settings Tell Us about Language Models?
|
2305.19597
|
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction
|
2305.02549
|
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