SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 6576–6600 of 10817 papers

TitleStatusHype
Multi-Domain Audio Question Answering Toward Acoustic Content Reasoning in The DCASE 2025 Challenge—0
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation—0
Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems—0
MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling—0
Multifaceted Improvements for Conversational Open-Domain Question Answering—0
Multi-Fact Correction in Abstractive Text Summarization—0
Multi-Field Structural Decomposition for Question Answering—0
History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling—0
History-Aware Question Answering in a Blocks World Dialogue System—0
Multi-grained Attention with Object-level Grounding for Visual Question Answering—0
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity—0
A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges—0
A Multimodal Social Agent—0
SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation—0
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models—0
Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection—0
Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension—0
HIS-GPT: Towards 3D Human-In-Scene Multimodal Understanding—0
Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering—0
Context-guided Triple Matching for Multiple Choice Question Answering—0
Multi-Hop Open-Domain Question Answering over Structured and Unstructured Knowledge—0
Building a Knowledge Graph from Natural Language Definitions for Interpretable Text Entailment Recognition—0
Multi-hop Question Answering over Knowledge Graphs using Large Language Models—0
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions—0
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified