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 9726–9750 of 10817 papers

TitleStatusHype
Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading—0
Weaver: Interweaving SQL and LLM for Table Reasoning—0
WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval—0
WebLists: Extracting Structured Information From Complex Interactive Websites Using Executable LLM Agents—0
Web pages segmentation for document selection in Question Answering (Pr\'e-segmentation de pages web et s\'election de documents pertinents en Questions-R\'eponses) [in French]—0
WebQuest: A Benchmark for Multimodal QA on Web Page Sequences—0
Web Table Extraction, Retrieval and Augmentation: A Survey—0
We Need to Talk About Classification Evaluation Metrics in NLP—0
Werdy: Recognition and Disambiguation of Verbs and Verb Phrases with Syntactic and Semantic Pruning—0
What are the limits of cross-lingual dense passage retrieval for low-resource languages?—0
What BERTs and GPTs know about your brand? Probing contextual language models for affect associations—0
What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play—0
What causes a causal relation? Detecting Causal Triggers in Biomedical Scientific Discourse—0
What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs—0
What do we expect from Multiple-choice QA Systems?—0
What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets—0
What Information is Helpful for Dependency Based Semantic Role Labeling—0
Alexpaca: Learning Factual Clarification Question Generation Without Examples—0
What is Event Knowledge Graph: A Survey—0
What is needed for simple spatial language capabilities in VQA?—0
What Large Language Models Bring to Text-rich VQA?—0
What Makes a Good Dataset for Symbol Description Reading?—0
What Makes Good In-Context Examples for GPT-3?—0
What makes us curious? analysis of a corpus of open-domain questions—0
What more can Entity Linking do for Question Answering?—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