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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5201–5225 of 10817 papers

TitleStatusHype
Improving Automatic VQA Evaluation Using Large Language Models—0
How FaR Are Large Language Models From Agents with Theory-of-Mind?Code0
Retrieval meets Long Context Large Language Models—0
Language Models as Knowledge Bases for Visual Word Sense DisambiguationCode0
Think before you speak: Training Language Models With Pause Tokens—0
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering—0
Dodo: Dynamic Contextual Compression for Decoder-only LMs—0
RA-DIT: Retrieval-Augmented Dual Instruction Tuning—0
Human Mobility Question Answering (Vision Paper)—0
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence—0
Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks—0
A Novel Computational and Modeling Foundation for Automatic Coherence Assessment—0
Colloquial Persian POS (CPPOS) Corpus: A Novel Corpus for Colloquial Persian Part of Speech Tagging—0
SLM: Bridge the thin gap between speech and text foundation models—0
Question-Answering Model for Schizophrenia Symptoms and Their Impact on Daily Life using Mental Health Forums Data—0
Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge DistillationCode0
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models—0
Using Weak Supervision and Data Augmentation in Question Answering—0
TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration—0
Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive Synthesis using Large Language Models and Satisfiability Solving—0
Tackling VQA with Pretrained Foundation Models without Further Training—0
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering—0
Question answering using deep learning in low resource Indian language Marathi—0
Fine-tuning and aligning question answering models for complex information extraction tasks—0
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning—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