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Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction EMNLP 2025
Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models EMNLP 2025
StandUp4AI: A New Multilingual Dataset for Humor Detection in Stand-up Comedy Videos EMNLP 2025
Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding CVPR 2025
Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification CVPR 2025
Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning EMNLP 2025
Rule Discovery for Natural Language Inference Data Generation Using Out-of-Distribution Detection EMNLP 2025
Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training EMNLP 2025
ReSeeding Latent States for Sequential Language Understanding EMNLP 2025
DUTJBD at SemEval-2025 Task 3: A Range of Approaches for Predicting Hallucination Generation in Models SEMEVAL 2025
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance EMNLP 2025
CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards EMNLP 2025
Enhancing Chinese Offensive Language Detection with Homophonic Perturbation EMNLP 2025
Rank-Awareness and Angular Constraints: A New Perspective on Learning Sentence Embeddings from NLI Data EMNLP 2025
Linguistic and Embedding-Based Profiling of Texts Generated by Humans and Large Language Models EMNLP 2025
STAR: Self-Automated Back-Querying for Production Data Generation IJCNLP 2025
iai_MSU at SemEval-2025 Task-3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes in English SEMEVAL 2025
Mixing Inference-time Experts for Enhancing LLM Reasoning EMNLP 2025
Code Execution as Grounded Supervision for LLM Reasoning EMNLP 2025
LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder EMNLP 2025
Language Models as Continuous Self-Evolving Data Engineers EMNLP 2025
Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval EMNLP 2025
TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering EMNLP 2025
Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis EMNLP 2025
ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks EMNLP 2025