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Question Answering

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Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems COLING 2025
Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization EMNLP 2025
QualBench: Benchmarking Chinese LLMs with Localized Professional Qualifications for Vertical Domain Evaluation EMNLP 2025
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering EMNLP 2025
Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning EMNLP 2025
Confidence-guided Refinement Reasoning for Zero-shot Question Answering EMNLP 2025
TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question Answering EMNLP 2025
InfoGain-RAG: Boosting Retrieval-Augmented Generation through Document Information Gain-based Reranking and Filtering EMNLP 2025
PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements EMNLP 2025
Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA EMNLP 2025
LLM-Independent Adaptive RAG: Let the Question Speak for Itself EMNLP 2025
TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route EMNLP 2025
Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form Generation EMNLP 2025
Predicate-Guided Generation for Mathematical Reasoning EMNLP 2025
ComplexTempQA: A 100m Dataset for Complex Temporal Question Answering EMNLP 2025
RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models EMNLP 2025
From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations EMNLP 2025
TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning EMNLP 2025
VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning EMNLP 2025
CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability EMNLP 2025
CCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMs EMNLP 2025
TVQACML: Benchmarking Text-Centric Visual Question Answering in Multilingual Chinese Minority Languages EMNLP 2025
MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval EMNLP 2025
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning EMNLP 2025
Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications ACL 2025