representation learning

6174 papers

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Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

TFDP: Token-Efficient Disparity Audits for Autoregressive LLMs via Single-Token Masked Evaluation EMNLP 2025

Morpheme Induction for Emergent Language EMNLP 2025

Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers EMNLP 2025

Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks EMNLP 2025

Unsupervised Hallucination Detection by Inspecting Reasoning Processes EMNLP 2025

Understanding Subword Compositionality of Large Language Models EMNLP 2025

MULTIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities EMNLP 2025

CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment EMNLP 2025

When Truthful Representations Flip Under Deceptive Instructions? EMNLP 2025

Representation Potentials of Foundation Models for Multimodal Alignment: A Survey EMNLP 2025

REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing EMNLP 2025

Inter-sentence Context Modeling and Structure-aware Representation Enhancement for Conversational Sentiment Quadruple Extraction EMNLP 2025

Group-SAE: Efficient Training of Sparse Autoencoders for Large Language Models via Layer Groups EMNLP 2025

HYDRA: A Multi-Head Encoder-only Architecture for Hierarchical Text Classification EMNLP 2025

CEMTM: Contextual Embedding-based Multimodal Topic Modeling EMNLP 2025

CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning EMNLP 2025

Linear Separation Capacity of Self-Supervised Representation Learning JMLR 2025

Confounding Factors in Relating Model Performance to Morphology EMNLP 2025

PEMV: Improving Spatial Distribution for Emotion Recognition in Conversations Using Proximal Emotion Mean Vectors NAACL 2025

Characterizing the Role of Similarity in the Property Inferences of Language Models NAACL 2025

How do Multimodal Foundation Models Encode Text and Speech? An Analysis of Cross-Lingual and Cross-Modal Representations NAACL 2025

Interpret and Control Dense Retrieval with Sparse Latent Features NAACL 2025

Value Profiles for Encoding Human Variation EMNLP 2025

Unveiling Internal Reasoning Modes in LLMs: A Deep Dive into Latent Reasoning vs. Factual Shortcuts with Attribute Rate Ratio EMNLP 2025

Demystifying optimized prompts in language models EMNLP 2025