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Resources & Methods

16,196 papers (36 classified directly here)

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Papers (including subtopics)

EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction AAAI 2025 Exclusion of Thought: Mitigating Cognitive Load in Large Language Models for Enhanced Reasoning in Multiple-Choice Tasks ACL 2025 EXECUTE: A Multilingual Benchmark for LLM Token Understanding ACL 2025 Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion ACL 2025 Expanding the Category of Classifiers with LLM Supervision IJCAI 2025 Expanding the WMT24++ Benchmark with Rumantsch Grischun, Sursilvan, Sutsilvan, Surmiran, Puter, and Vallader EMNLP 2025 Expectation Preference Optimization: Reliable Preference Estimation for Improving the Reasoning Capability of Large Language Models EMNLP 2025 Experiencing of Sensorium Arc: AI Agent System for Oceanic Data Exploration and Interactive Eco-Art NeurIPS 2025 ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation ACL 2025 ExpeTrans: LLMs Are Experiential Transfer Learners ACL 2025 Explainability and Interpretability of Multilingual Large Language Models: A Survey EMNLP 2025 Explaining Differences Between Model Pairs in Natural Language through Sample Learning EMNLP 2025 Explaining Length Bias in LLM-Based Preference Evaluations EMNLP 2025 Explaining novel senses using definition generation with open language models EMNLP 2025 Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction NAACL 2025 Explanations explained. Influence of Free-text Explanations on LLMs and the Role of Implicit Knowledge EMNLP 2025 Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization ICML 2025 ExpLay: A new Corpus Resource for the Research on Expertise as an Influential Factor on Language Production ACL 2025 ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Models ACL 2025 Explicit Learning and the LLM in Machine Translation EMNLP 2025 Exploiting Contextual Knowledge in LLMs through 𝒱-usable Information based Layer Enhancement ACL 2025 Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models ICML 2025 Exploiting Task Reversibility of DRS Parsing and Generation: Challenges and Insights from a Multi-lingual Perspective COLING 2025 Exploiting Word Sense Disambiguation in Large Language Models for Machine Translation COLING 2025 ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration ACL 2025