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 4826–4850 of 10817 papers

TitleStatusHype
E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer—0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks—0
CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering—0
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering—0
Careful Selection of Knowledge to solve Open Book Question Answering—0
A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base—0
AI-VaxGuide: An Agentic RAG-Based LLM for Vaccination Decisions—0
A Benchmark Dataset with Larger Context for Non-Factoid Question Answering over Islamic Text—0
Evidence-Enhanced Triplet Generation Framework for Hallucination Alleviation in Generative Question Answering—0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
Everything is a Video: Unifying Modalities through Next-Frame Prediction—0
CARE: A QLoRA-Fine Tuned Multi-Domain Chatbot With Fast Learning On Minimal Hardware—0
A question-answering system for aircraft pilots' documentation—0
Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment—0
EventWiki: A Knowledge Base of Major Events—0
Event-Related Features in Feedforward Neural Networks Contribute to Identifying Causal Relations in Discourse—0
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs—0
CapWAP: Image Captioning with a Purpose—0
FigureNet: A Deep Learning model for Question-Answering on Scientific Plots—0
Event Extraction for Portuguese: A QA-driven Approach using ACE-2005—0
CapWAP: Captioning with a Purpose—0
A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction—0
Event Extraction as Multi-turn Question Answering—0
Event Extraction as Machine Reading Comprehension—0
Event Detection via Derangement Question Answering—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