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Self-Supervised Learning

8,255 papers

Papers per year

Papers

Assessing the Significance of Encoded Information in Contextualized Representations to Word Sense Disambiguation EACL 2024
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences EMNLP 2024
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation EMNLP 2024
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering EMNLP 2024
CMD: a framework for Context-aware Model self-Detoxification EMNLP 2024
Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection EMNLP 2024
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models EMNLP 2024
Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training EMNLP 2024
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models EMNLP 2024
Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese EMNLP 2024
To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models EMNLP 2024
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases EMNLP 2024
Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models EMNLP 2024
Noise, Novels, Numbers. A Framework for Detecting and Categorizing Noise in Danish and Norwegian Literature EMNLP 2024
Advancing Large Language Model Attribution through Self-Improving EMNLP 2024
Semantic Training Signals Promote Hierarchical Syntactic Generalization in Transformers EMNLP 2024
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering EMNLP 2024
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation EMNLP 2024
KidLM: Advancing Language Models for Children – Early Insights and Future Directions EMNLP 2024
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension EMNLP 2024
How Far Can We Extract Diverse Perspectives from Large Language Models? EMNLP 2024
LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations EMNLP 2024
Pretraining Language Models Using Translationese EMNLP 2024
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales EMNLP 2024
Investigating Mysteries of CoT-Augmented Distillation EMNLP 2024