Research

Papers for “question answering”

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

Title	Authors	Year	Source
How Should LLMs Listen While Speaking? A Study of User-Stream Routing in Full-Duplex Spoken Dialogue	Hui Lu, Xueyuan Chen, Huimeng Wang	2026	arxiv 2605.10199
DM-KG: A Novel Method for Boosting Spatial Cognition of Vision-Language Models in Street View Imagery	Xinyue Xu, Zheng Zhang, Kunyang Ma	2026	arxiv 2607.12319
Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data	Dominik Stammbach, Maria Antoniak, Elliott Ash	2022	arxiv 2205.07557
Negative Statements Considered Useful	Hiba Arnaout, Simon Razniewski, Gerhard Weikum	2020	arxiv 2001.04425
Closed-book Question Generation via Contrastive Learning	Xiangjue Dong, Jiaying Lu, Jianling Wang	2022	arxiv 2210.06781
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback	Baolin Peng, Michel Galley, Pengcheng He	2023	arxiv 2302.12813
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions	Wenpeng Yin, Hinrich Schütze, Dan Roth	2018	arxiv 1804.08813
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships	Chaoran Huang, Lina Yao, Xianzhi Wang	2018	arxiv 1808.01092
Text Embeddings for Retrieval From a Large Knowledge Base	Tolgahan Cakaloglu, Christian Szegedy, Xiaowei Xu	2018	arxiv 1810.10176
Why Do Masked Neural Language Models Still Need Common Sense Knowledge?	Sunjae Kwon, Cheongwoong Kang, Jiyeon Han	2019	arxiv 1911.03024
SPARQL as a Foreign Language	Tommaso Soru, Edgard Marx, Diego Moussallem	2017	arxiv 1708.07624
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation	Edwin Simpson, Yang Gao, Iryna Gurevych	2019	arxiv 1911.10183
ISAAQ -- Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention	Jose Manuel Gomez-Perez, Raul Ortega	2020	arxiv 2010.00562
HySTER: A Hybrid Spatio-Temporal Event Reasoner	Theophile Sautory, Nuri Cingillioglu, Alessandra Russo	2021	arxiv 2101.06644
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding	Kexin Yi, Jiajun Wu, Chuang Gan	2018	arxiv 1810.02338
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	Jacob Devlin, Ming-Wei Chang, Kenton Lee	2018	arxiv 1810.04805
Evaluation of Transfer Learning for Polish with a Text-to-Text Model	Aleksandra Chrabrowa, \Lukasz Dragan, Karol Grzegorczyk	2022	arxiv 2205.08808
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training	Jong Hak Moon, Hyungyung Lee, Woncheol Shin	2021	arxiv 2105.11333
Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications	Prudence Djagba, Chimezie A. Odinakachukwu	2025	arxiv 2507.08015
Multi-Level Explanations for Generative Language Models	Lucas Monteiro Paes, Dennis Wei, Hyo Jin Do	2024	arxiv 2403.14459

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