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 7401–7425 of 10817 papers

TitleStatusHype
PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly—0
Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports—0
Grounding Answers for Visual Questions Asked by Visually Impaired People—0
Computing Word Classes Using Spectral Clustering—0
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation—0
Piece of Table: A Divide-and-Conquer Approach for Selecting Sub-Tables in Table Question Answering—0
Computing Semantic Text Similarity Using Rich Features—0
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision—0
A Dataset of Open-Domain Question Answering with Multiple-Span Answers—0
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback—0
Predicting the quality of questions on Stackoverflow—0
Exploring The Spatial Reasoning Ability of Neural Models in Human IQ Tests—0
Pre-trained Transformer-Based Approach for Arabic Question Answering : A Comparative Study—0
Prior versus Contextual Emotion of a Word in a Sentence—0
Problematic Cases in the Annotation of Negation in Spanish—0
PISCO: Pretty Simple Compression for Retrieval-Augmented Generation—0
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering—0
Grounded Word Sense Translation—0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval—0
PIXAR: Auto-Regressive Language Modeling in Pixel Space—0
Grounded Semantic Role Labeling—0
Computational Semantics and Evaluation Benchmark for Interrogative Sentences via Combinatory Categorial Grammar—0
Grounded Semantic Parsing for Complex Knowledge Extraction—0
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study—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