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Resources & Methods

16,196 papers (36 classified directly here)

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Papers (including subtopics)

Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought NeurIPS 2024 Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study ACL 2024 Unlocking the Power of Large Language Models for Entity Alignment ACL 2024 Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models NeurIPS 2024 UnMASKed: Quantifying Gender Biases in Masked Language Models through Linguistically Informed Job Market Prompts EACL 2024 Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance ACL 2024 Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications EMNLP 2024 Unsupervised Authorship Attribution for Medieval Latin Using Transformer-Based Embeddings COLING 2024 Unsupervised Contrast-Consistent Ranking with Language Models EACL 2024 Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation ACL 2024 Unsupervised Pretraining for Fact Verification by Language Model Distillation ICLR 2024 Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models ACL 2024 Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models COLING 2024 Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs EMNLP 2024 Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration ICML 2024 Unveiling and Manipulating Prompt Influence in Large Language Models ICLR 2024 Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism EMNLP 2024 Unveiling Linguistic Regions in Large Language Models ACL 2024 Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models ACL 2024 Unveiling Semantic Information in Sentence Embeddings COLING 2024 Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NeurIPS 2024 Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024 Unveiling the Generalization Power of Fine-Tuned Large Language Models NAACL 2024 Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement EMNLP 2024 Unveiling the Pitfalls of Knowledge Editing for Large Language Models ICLR 2024