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 7601–7625 of 10817 papers

TitleStatusHype
JAIST: Combining multiple features for Answer Selection in Community Question Answering—0
Jailbreak Attacks and Defenses Against Large Language Models: A Survey—0
Jaeger: A Concatenation-Based Multi-Transformer VQA Model—0
Prompt-based Conservation Learning for Multi-hop Question Answering—0
Prompt-based Learning for Unpaired Image Captioning—0
Prompt-based Personalized Federated Learning for Medical Visual Question Answering—0
Danoliteracy of Generative, Large Language Models—0
Automatic Building and Using Parallel Resources for SMT from Comparable Corpora—0
Medical Knowledge Graph QA for Drug-Drug Interaction Prediction based on Multi-hop Machine Reading Comprehension—0
Advances in Multi-turn Dialogue Comprehension: A Survey—0
A Collection of Question Answering Datasets for Norwegian—0
Prompt Engineering for Healthcare: Methodologies and Applications—0
IXAGroupEHUSpaceEval: (X-Space) A WordNet-based approach towards the Automatic Recognition of Spatial Information following the ISO-Space Annotation Scheme—0
Prompt Guided Copy Mechanism for Conversational Question Answering—0
iVQA: Inverse Visual Question Answering—0
I've got the "Answer"! Interpretation of LLMs Hidden States in Question Answering—0
Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process—0
DaNetQA: a yes/no Question Answering Dataset for the Russian Language—0
Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts—0
Prompting Large Language Models with Rationale Heuristics for Knowledge-based Visual Question Answering—0
It was the training data pruning too!—0
Prompting Large Language Models with Speech Recognition Abilities—0
It Takes Two to Tango: Towards Theory of AI's Mind—0
Prompting Whisper for QA-driven Zero-shot End-to-end Spoken Language Understanding—0
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance—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