SOTA2 Research · papers

Papers for “question answering”

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

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20 indexed

Title	Authors	Year	Source
RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering	Ines Besrour, Jingbo He, Tobias Schreieder	2025	arxiv 2506.16988
Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering	Yichi Zhang, Zhuo Chen, Yin Fang	2023	arxiv 2311.06503
Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering	Ruoyue Shen, Nakamasa Inoue, Koichi Shinoda	2024	arxiv 2407.20563
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering	Yucheng Shi, Shaochen Xu, Tianze Yang	2023	arxiv 2309.16035
A Data Driven Approach to Query Expansion in Question Answering	Leon Derczynski, Jun Wang, Robert Gaizauskas	2012	arxiv 1203.5084
Improving Question Answering Performance Using Knowledge Distillation and Active Learning	Yasaman Boreshban, Seyed Morteza Mirbostani, Gholamreza Ghassem-Sani	2021	arxiv 2109.12662
PRISM: Agentic Retrieval with LLMs for Multi-Hop Question Answering	Md Mahadi Hasan Nahid, Davood Rafiei	2025	arxiv 2510.14278
Task-driven Visual Saliency and Attention-based Visual Question Answering	Yuetan Lin, Zhangyang Pang, Donghui Wang	2017	arxiv 1702.06700
Test-Time Self-Adaptive Small Language Models for Question Answering	Soyeong Jeong, Jinheon Baek, Sukmin Cho	2023	arxiv 2310.13307
Embodied Referring Expression for Manipulation Question Answering in Interactive Environment	Qie Sima, Sinan Tan, Huaping Liu