Question Answering

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation ACL 2025 ExpertGenQA: Open-ended QA generation in Specialized Domains EMNLP 2025 EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary ACL 2025 Exploration Lab IITK at SemEval-2025 Task 8: Multi-LLM Agent QA over Tabular Data SemEval 2025 Explore What LLM Does Not Know in Complex Question Answering AAAI 2025 Exploring Language Model Generalization in Low-Resource Extractive QA COLING 2025 Exploring the Effectiveness of Multilingual and Generative Large Language Models for Question Answering in Financial Texts COLING 2025 Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning ACL 2025 Facilitating Long Context Understanding via Supervised Chain-of-Thought Reasoning EMNLP 2025 FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models EMNLP 2025 FACT5: A Novel Benchmark and Pipeline for Nuanced Fact-Checking of Complex Statements ACL 2025 Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation NAACL 2025 FactLens: Benchmarking Fine-Grained Fact Verification ACL 2025 Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models EMNLP 2025 FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees ICML 2025 FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation ACL 2025 Falcon Medical Visual Question Answering AAAI 2025 Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation EMNLP 2025 FANS: Formal Answer Selection for LLM Natural Language Math Reasoning Using Lean4 EMNLP 2025 Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph AAAI 2025 FaVe: Factored and Verified Search Rationale for Long-form Answer ACL 2025 FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning ACL 2025 Federated Retrieval Augmented Generation for Multi-Product Question Answering COLING 2025 FENJI at SemEval-2025 Task 3: Retrieval-Augmented Generation and Hallucination Span Detection SemEval 2025 Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning ICLR 2025