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Large Language Models

9,341 papers

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Papers

Extracting Linguistic Information from Large Language Models: Syntactic Relations and Derivational Knowledge EMNLP 2025 Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts ICML 2025 F2 (FutureFiction): Detection of Fake News on Futuristic Technology NAACL 2025 Facilitating Long Context Understanding via Supervised Chain-of-Thought Reasoning EMNLP 2025 Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning ICLR 2025 FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models EMNLP 2025 FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models ACL 2025 FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation ACL 2025 FACTCHECKMATE: Preemptively Detecting and Mitigating Hallucinations in LMs EMNLP 2025 FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems ICML 2025 Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation NAACL 2025 Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain EMNLP 2025 FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs NAACL 2025 FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows" ICLR 2025 Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations ACL 2025 FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation ACL 2025 Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation EMNLP 2025 Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models SemEval 2025 FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only ACL 2025 Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs EMNLP 2025 FANS: Formal Answer Selection for LLM Natural Language Math Reasoning Using Lean4 EMNLP 2025 Faster and Better LLMs via Latency-Aware Test-Time Scaling EMNLP 2025 Faster Cascades via Speculative Decoding ICLR 2025 Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding EMNLP 2025 FaStFact: Faster, Stronger Long-Form Factuality Evaluations in LLMs EMNLP 2025