large language model

FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models ACL 2025 FACTCHECKMATE: Preemptively Detecting and Mitigating Hallucinations in LMs EMNLP 2025 (Fact) Check Your Bias ACL 2025 Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization Interspeech 2025 FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs MLHC 2025 FactEval: Evaluating the Robustness of Fact Verification Systems in the Era of Large Language Models NAACL 2025 FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval NAACL 2025 Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation NAACL 2025 Factors affecting the in-context learning abilities of LLMs for dialogue state tracking Interspeech 2025 Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain EMNLP 2025 Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models EMNLP 2025 FactTrack: Time-Aware World State Tracking in Story Outlines NAACL 2025 Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations ACL 2025 FADE: Why Bad Descriptions Happen to Good Features ACL 2025 FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression EMNLP 2025 FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes ACL 2025 FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs ICLR 2025 Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs ACL 2025 FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs NAACL 2025 Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations ACL 2025 FaithfulPersona: Balancing Faithfulness and Personalization in Code Explanations through Self-Critique NAACL 2025 Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation NAACL 2025 FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models ICLR 2025 Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree AAAI 2025 Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models SemEval 2025