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 8276–8300 of 10817 papers

TitleStatusHype
Generating Natural Language Inference Chains—0
Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Question Answering—0
Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network—0
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning—0
Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention—0
Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning—0
Combining Lexical and Syntactic Features for Detecting Content-dense Texts in News—0
Generating multiple-choice questions for medical question answering with distractors and cue-masking—0
Generating Lexicalization Patterns for Linked Open Data—0
Combining Lexical and Semantic-based Features for Answer Sentence Selection—0
Aspect-oriented Consumer Health Answer Summarization—0
Generating Justifications in a Spatial Question-Answering Dialogue System for a Blocks World—0
Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling—0
Combining Knowledge Graph and LLMs for Enhanced Zero-shot Visual Question Answering—0
Generating Followup Questions for Interpretable Multi-hop Question Answering—0
Generating Fact Checking Briefs—0
Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis—0
Aspect Classification for Legal Depositions—0
Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation—0
Generating Extractive Summaries of Scientific Paradigms—0
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence—0
Combining Impression Feature Representation for Multi-turn Conversational Question Answering—0
Generating Dialogue Agents via Automated Planning—0
Combining Heterogeneous Models for Measuring Relational Similarity—0
``Look, some Green Circles!'': Learning to Quantify from Images—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