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 8151–8175 of 10817 papers

TitleStatusHype
A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering—0
Relation Extraction: Perspective from Convolutional Neural Networks—0
AC/DC: LLM-based Audio Comprehension via Dialogue Continuation—0
Integrating Vision and Language Datasets to Measure Word Concreteness—0
Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base—0
Relative Overfitting and Accept-Reject Framework—0
Cross-lingual Short-text Matching with Deep Learning—0
Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering—0
Integrating SPARQL and LLMs for Question Answering over Scholarly Data Sources—0
Cross-Lingual Question Answering Using Common Semantic Space—0
Integrating Question Rewrites in Conversational Question Answering: A Reinforcement Learning Approach—0
Integrating Question Classification and Deep Learning for improved Answer Selection—0
Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandic—0
ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding—0
Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent—0
Integrating Multi-Head Convolutional Encoders with Cross-Attention for Improved SPARQL Query Translation—0
Integrating Location, Visibility, and Question-Answering in a Spoken Dialogue System for Pedestrian City Exploration—0
Relying on Discourse Analysis to Answer Complex Questions by Neural Machine Reading Comprehension—0
Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering—0
Cross-Lingual Named Entity Recognition via FastAlign: a Case Study—0
Integrating Knowledge and Reasoning in Image Understanding—0
Integrating Hierarchical Semantic into Iterative Generation Model for Entailment Tree Explanation—0
Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models—0
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment—0
Cross-lingual Inference with A Chinese Entailment Graph—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