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Papers for “question answering”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

TitleAuthorsYearSource
BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of MindYuanyuan Mao, Xin Lin, Qin Ni2024arxiv 2402.07402
CBT-LLM: A Chinese Large Language Model for Cognitive Behavioral Therapy-based Mental Health Question AnsweringHongbin Na2024arxiv 2403.16008
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question AnsweringYiming Du, Hongru Wang, Zhengyi Zhao2024arxiv 2402.16288
1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question AnsweringJebish Purbey, Drishti Sharma, Siddhant Gupta2024arxiv 2412.06009
Towards Natural Language Question Answering over Earth Observation Linked Data using Attention-based Neural Machine TranslationAbhishek V. Potnis, Rajat C. Shinde, Surya S. Durbha2021arxiv 2101.09427
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answeringSaeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda2024arxiv 2403.04890
Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question AnsweringChang Zong, Yuchen Yan, Weiming Lu2024arxiv 2402.14320
ResearchQA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and RubricsLi S. Yifei, Allen Chang, Chaitanya Malaviya2025arxiv 2509.00496
UDVideoQA: A Traffic Video Question Answering Dataset for Multi-Object Spatio-Temporal Reasoning in Urban DynamicsJoseph Raj Vishal, Nagasiri Poluri, Katha Naik2026arxiv 2602.21137
StepGap: A Hybrid NLI-LLM Checker for Step-Level Evidence-Gap Detectionin Multi-Hop Question AnsweringYuelyu Ji, Zhuochun Li, Hui Ji2026arxiv 2605.24733
TLG: Temporal-Logic Grounding for Video Question Answering via Source-Annotation Reconstruction and Category-Targeted ReasoningAli Alavi2026arxiv 2606.01591
KGCaRe: Explainable Complex Conditional Question Answering using Automatic Knowledge Graph Construction and Context Retrieval with LLMsGhanshyam Verma, Simanta Sarkar, Devishree Pillai2026arxiv 2608.09779
VRU-Accident: A Vision-Language Benchmark for Video Question Answering and Dense Captioning for Accident Scene UnderstandingYounggun Kim, Ahmed S. Abdelrahman, Mohamed Abdel-Aty2025arxiv 2507.09815
Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to VideoZhengbang Yang, Haotian Xia, Jingxi Li2024arxiv 2406.14877
Adventurer's Treasure Hunt: A Transparent System for Visually Grounded Compositional Visual Question Answering based on Scene GraphsDaniel Reich, Felix Putze, Tanja Schultz2021arxiv 2106.14476
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and TextWenting Zhao, Ye Liu, Tong Niu2023arxiv 2310.20170
The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story CharactersChulun Zhou, Qiujing Wang, Mo Yu2025arxiv 2501.01705
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMsYingjian Chen, Feiyang Li, Xingyu Song2025arxiv 2504.10982
Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question AnsweringMd Arafat Sultan, Avirup Sil, Radu Florian2022arxiv 2205.07257
UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question AnsweringMarc Franco-Salvador, Sudipta Kar, Thamar Solorio2018arxiv 1807.11584