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 5651–5675 of 10817 papers

TitleStatusHype
Beyond Attention: Toward Machines with Intrinsic Higher Mental States—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
Annotating Educational Questions for Student Response Analysis—0
A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines—0
A Comprehensive Survey on Visual Question Answering Datasets and Algorithms—0
3D Question Answering for City Scene Understanding—0
Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization—0
Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering—0
Do LLMs Recognize me, When I is not me: Assessment of LLMs Understanding of Turkish Indexical Pronouns in Indexical Shift Contexts—0
Annotating Coordination in the Penn Treebank—0
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models—0
Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses—0
Do Large Language Models Know about Facts?—0
Better Retrieval May Not Lead to Better Question Answering—0
Annotating Attribution Relations in Arabic—0
A Flexible and Extensible Framework for Multiple Answer Modes Question Answering—0
Do KG-augmented Models Leverage Knowledge as Humans Do?—0
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA—0
Do Fine-tuned Commonsense Language Models Really Generalize?—0
Annotating and Predicting Non-Restrictive Noun Phrase Modifications—0
Do Explanations make VQA Models more Predictable to a Human?—0
Does Your 3D Encoder Really Work? When Pretrain-SFT from 2D VLMs Meets 3D VLMs—0
Better Query Graph Selection for Knowledge Base Question Answering—0
Affordances in Grounded Language Learning—0
A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry—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