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Natural Language Processing

46,586 papers (52 classified directly here)

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Papers (including subtopics)

Are Your Keywords Like My Queries? A Corpus-Wide Evaluation of Keyword Extractors with Real Searches COLING 2025 Are Your LLMs Capable of Stable Reasoning? ACL 2025 Are You Sure You’re Positive? Consolidating Chain-of-Thought Agents with Uncertainty Quantification for Aspect-Category Sentiment Analysis ACL 2025 Are You Trying to Convince Me or Are You Trying to Deceive Me? Using Argumentation Types to Identify Deceptive News ACL 2025 ArGAN: Arabic Gender, Ability, and Nationality Dataset for Evaluating Biases in Large Language Models ACL 2025 ArgCMV: An Argument Summarization Benchmark for the LLM-era EMNLP 2025 ARGENT: Automatic Reference-free Evaluation for Open-Ended Text Generation without Source Inputs ACL 2025 ArgHiTZ at ArchEHR-QA 2025: A Two-Step Divide and Conquer Approach to Patient Question Answering for Top Factuality ACL 2025 ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation ACL 2025 Argumentation in political empowerment on Instagram NAACL 2025 Argumentative Analysis of Legal Rulings: A Structured Framework Using Bobbitt’s Typology ACL 2025 Argumentative Fallacy Detection in Political Debates ACL 2025 Argumentative Large Language Models for Explainable and Contestable Claim Verification AAAI 2025 Argument Mining with Fine-Tuned Large Language Models COLING 2025 Argument Summarization and its Evaluation in the Era of Large Language Models EMNLP 2025 Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought CVPR 2025 A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages EMNLP 2025 ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification NAACL 2025 ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search ACL 2025 Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework ACL 2025 ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving ACL 2025 A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI ACL 2025 Around the World in 24 Hours: Probing LLM Knowledge of Time and Place ACL 2025 ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction IJCAI 2025 ARTICLE: Annotator Reliability Through In-Context Learning AAAI 2025