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Papers for “question answering”

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

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TitleAuthorsYearSource
Chart-RL: Policy Optimization Reinforcement Learning for Enhanced Visual Reasoning in Chart Question Answering with Vision Language ModelsYunfei Bai, Amit Dhanda, Shekhar Jain2026arxiv 2604.03157
ASTRID -- An Automated and Scalable TRIaD for the Evaluation of RAG-based Clinical Question Answering SystemsMohita Chowdhury, Yajie Vera He, Jared Joselowitz2025arxiv 2501.08208
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document CollectionsDimitris Pappas, Ion Androutsopoulos2021arxiv 2106.08908
Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building CodesMohammad Aqib, Mohd Hamza, Qipei Mei2025arxiv 2505.04666
Visual question answering-based image-finding generation for pulmonary nodules on chest CT from structured annotationsMaiko Nagao, Kaito Urata, Atsushi Teramoto2026arxiv 2601.11075
Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG) Using LLMYuan An, Jane Greenberg, Alex Kalinowski2023arxiv 2309.11361
Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question AnsweringKazutoshi Shinoda, Saku Sugawara, Akiko Aizawa2022arxiv 2211.16093
MedHopQA: A Disease-Centered Multi-Hop Reasoning Benchmark and Evaluation Framework for LLM-Based Biomedical Question AnsweringRezarta Islamaj, Robert Leaman, Joey Chan2026arxiv 2605.12361
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in RetailBianca Lamm, Janis Keuper2024arxiv 2408.15626
CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question AnsweringYahan Li, Jifan Yao, John Bosco S. Bunyi2025arxiv 2506.08584
VL-MemKnG: Hybrid Memory with a Spatio-Temporal Knowledge Graph for Question Answering over Long Egocentric Navigation TrajectoriesSvetlana Lukina, Mohamad Al Mdfaa, Gloria Haro2026arxiv 2606.17183
On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based MethodZorik Gekhman, Nadav Oved, Orgad Keller2022arxiv 2206.14796
Exploring the Meta-level Reasoning of Large Language Models via a Tool-based Multi-hop Tabular Question Answering TaskNick Ferguson, Alan Bundy, Kwabena Nuamah2026arxiv 2601.07696
Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering ArchitectureKate Pearce, Sharifa Alghowinem, Cynthia Breazeal2022arxiv 2212.07542
PGDA-KGQA: A Prompt-Guided Generative Framework with Multiple Data Augmentation Strategies for Knowledge Graph Question AnsweringXiujun Zhou, Pingjian Zhang, Deyou Tang2025arxiv 2506.09414
When LLMs Over-Answer: Measuring and Mitigating Quality Issues in LLM-Based Hardware Description Language Question AnsweringZiteng Hu, Jiachi Chen, Wenhao Lv2026arxiv 2607.17063
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question AnsweringJihyung Kil, Cheng Zhang, Dong Xuan2021arxiv 2109.06122
Domain Fine-Tuning vs. Retrieval-Augmented Generation for Medical Multiple-Choice Question Answering: A Controlled Comparison at the 4B-Parameter ScaleAvi-ad Avraam Buskila2026arxiv 2604.23801
FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text modelsRakesh Chada, Pradeep Natarajan2021arxiv 2109.01951
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question AnsweringAnand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap2024arxiv 2406.03699