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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
Down and Across: Introducing Crossword-Solving as a New NLP BenchmarkSaurabh Kulshreshtha, Olga Kovaleva, Namrata Shivagunde2022arxiv 2205.10442
Models in the Loop: Aiding Crowdworkers with Generative Annotation AssistantsMax Bartolo, Tristan Thrush, Sebastian Riedel2021arxiv 2112.09062
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge sourceAman Kumar, Akshay G Bharadwaj, Binil Starly2022arxiv 2206.10318
Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-SupervisionKhalil Mrini, Harpreet Singh, Franck Dernoncourt2022arxiv 2209.15301
A Novel Differential Feature Learning for Effective Hallucination Detection and ClassificationWenkai Wang, Vincent Lee, Yizhen Zheng2025arxiv 2509.21357
Audio Entailment: Assessing Deductive Reasoning for Audio UnderstandingSoham Deshmukh, Shuo Han, Hazim Bukhari2024arxiv 2407.18062
Video-Language Alignment via Spatio-Temporal Graph TransformerShi-Xue Zhang, Hongfa Wang, Xiaobin Zhu2024arxiv 2407.11677
Pivot Through English: Reliably Answering Multilingual Questions without Document RetrievalIvan Montero, Shayne Longpre, Ni Lao2020arxiv 2012.14094
Semantic Answer Type and Relation Prediction Task (SMART 2021)Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo2021arxiv 2112.07606
Knowledge Homophily in Large Language ModelsUtkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar2025arxiv 2509.23773
Increasing LLM response trustworthiness using voting ensemblesAparna Nair-Kanneganti, Trevor J. Chan, Shir Goldfinger2025arxiv 2510.04048
Cascaded Language Models for Cost-effective Human-AI Decision-MakingClaudio Fanconi, Mihaela van der Schaar2025arxiv 2506.11887
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze PatternsYunsoo Kim, Jinge Wu, Yusuf Abdulle2024arxiv 2404.02370
LAVENDER: Unifying Video-Language Understanding as Masked Language ModelingLinjie Li, Zhe Gan, Kevin Lin2022arxiv 2206.07160
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype DevelopmentNariman Ammar, Arash Shaban-Nejad2020arxiv 2011.08090
MilkQA: a Dataset of Consumer Questions for the Task of Answer SelectionMarcelo Criscuolo, Erick Rocha Fonseca, Sandra Maria Aluísio2018arxiv 1801.03460
Can AI Assistants Know What They Don't Know?Qinyuan Cheng, Tianxiang Sun, Xiangyang Liu2024arxiv 2401.13275
RealTime QA: What's the Answer Right Now?Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi2022arxiv 2207.13332
ScreenAI: A Vision-Language Model for UI and Infographics UnderstandingGilles Baechler, Srinivas Sunkara, Maria Wang2024arxiv 2402.04615
Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQCarolin Holtermann, Paul Röttger, Timm Dill2024arxiv 2403.03814