Research

Papers for “question answering”

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

Title	Authors	Year	Source
How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering	Zhengbao Jiang, Jun Araki, Haibo Ding	2020	arxiv 2012.00955
Confident RAG: Enhancing the Performance of LLMs for Mathematics Question Answering through Multi-Embedding and Confidence Scoring	Shiting Chen, Zijian Zhao, Jinsong Chen	2025	arxiv 2507.17442
Asking For An Old Friend: Diagnosing and Mitigating Temporal Failure Modes in LLM-based Statutory Question Answering	Max Prior, Andreas Schultz, Matthias Grabmair	2026	arxiv 2605.23497
Learning from Audio-Dependency Errors: Data Curation Strategies Based on Model Confusion Patterns in Audio Question Answering	Hyeonuk Nam	2026	arxiv 2606.22276
Bayesian Uncertainty Propagation for Agentic RAG Pipelines: A Proof-of-Concept Study on Multi-Hop Question Answering	Louis Donaldson, Connor Walker, Koorosh Aslansefat	2026	arxiv 2607.00972
ViConsFormer: Constituting Meaningful Phrases of Scene Texts using Transformer-based Method in Vietnamese Text-based Visual Question Answering	Nghia Hieu Nguyen, Tho Thanh Quan, Ngan Luu-Thuy Nguyen	2024	arxiv 2410.14132
The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems	Judith Sieker, Simeon Junker, Ronja Utescher	2024	arxiv 2406.19170
Yale-DM-Lab at ArchEHR-QA 2026: Deterministic Grounding and Multi-Pass Evidence Alignment for EHR Question Answering	Elyas Irankhah, Samah Fodeh	2026	arxiv 2604.07116
Knowledge-Graph Grounding Helps LLMs Only for Out-of-Training Knowledge: A Controlled Study on Clinical Question Answering	Madhulatha Mandarapu, Sandeep Kunkunuru	2026	arxiv 2606.22419
A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis	Aysegul Ucar, Soumik Nayak, Anunak Roy	2025	arxiv 2501.17190
PRISMA: Reinforcement Learning Guided Two-Stage Policy Optimization in Multi-Agent Architecture for Open-Domain Multi-Hop Question Answering	Yu Liu, Wenxiao Zhang, Cong Cao	2026	arxiv 2601.05465
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology	Aidan Gilson, Xuguang Ai, Thilaka Arunachalam	2024	arxiv 2409.13902
Exploration of Augmentation Strategies in Multi-modal Retrieval-Augmented Generation for the Biomedical Domain: A Case Study Evaluating Question Answering in Glycobiology	Primož Kocbek, Azra Frkatović-Hodžić, Dora Lalić	2025	arxiv 2512.16802
ICDAR 2021 Competition on Document VisualQuestion Answering	Rubèn Tito, Minesh Mathew, C.V. Jawahar	2021	arxiv 2111.05547
Open-Ended Visual Question-Answering	Issey Masuda, Santiago Pascual de la Puente, Xavier Giro-i-Nieto	2016	arxiv 1610.02692
Causal Perception in Question-Answering Systems	Po-Ming Law, Leo Yu-Ho Lo, Alex Endert	2020	arxiv 2012.14477
Automatic Question-Answering Using A Deep Similarity Neural Network	Shervin Minaee, Zhu Liu	2017	arxiv 1708.01713
Project PIAF: Building a Native French Question-Answering Dataset	Rachel Keraron, Guillaume Lancrenon, Mathilde Bras	2020	arxiv 2007.00968
Question-Answering Dense Video Events	Hangyu Qin, Junbin Xiao, Angela Yao	2024	arxiv 2409.04388
KaPQA: Knowledge-Augmented Product Question-Answering	Swetha Eppalapally, Daksh Dangi, Chaithra Bhat	2024	arxiv 2407.16073

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