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 10051–10075 of 10817 papers

TitleStatusHype
Logical Implications for Visual Question Answering ConsistencyCode0
Problem-Solving in Language Model NetworksCode0
No that's not what I meant: Handling Third Position Repair in Conversational Question AnsweringCode0
Attentive Pooling NetworksCode0
Procedural Text Mining with Large Language ModelsCode0
A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question AnsweringCode0
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense RetrievalCode0
Enhancing Omics Cohort Discovery for Research on Neurodegeneration through Ontology-Augmented Embedding ModelsCode0
CLEAR: A Dataset for Compositional Language and Elementary Acoustic ReasoningCode0
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge GraphsCode0
LogiQA 2.0—An Improved Dataset for Logical Reasoning in Natural Language UnderstandingCode0
Reliable Academic Conference Question Answering: A Study Based on Large Language ModelCode0
Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and BeyondCode0
Enhancing Healthcare LLM Trust with Atypical Presentations RecalibrationCode0
Long-context Non-factoid Question Answering in Indic LanguagesCode0
Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target TokensCode0
Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature DistillationCode0
LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic DataCode0
Enhancing Compositional Reasoning in Vision-Language Models with Synthetic Preference DataCode0
End-to-End Video Question-Answer Generation with Generator-Pretester NetworkCode0
CleanGraph: Human-in-the-loop Knowledge Graph Refinement and CompletionCode0
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering SystemsCode0
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory NetworksCode0
NS3: Neuro-Symbolic Semantic Code SearchCode0
RAG-VR: Leveraging Retrieval-Augmented Generation for 3D Question Answering in VR EnvironmentsCode0
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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