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 3651–3675 of 10817 papers

TitleStatusHype
Exploring and Evaluating Personalized Models for Code Generation—0
Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs—0
A Framework for Rationale Extraction for Deep QA models—0
Exploring BERT Parameter Efficiency on the Stanford Question Answering Dataset v2.0—0
DoQA - Accessing Domain-Specific FAQs via Conversational QA—0
Exploring Diverse Expressions for Paraphrase Generation—0
Exploring Diverse Methods in Visual Question Answering—0
DoQA -- Accessing Domain-Specific FAQs via Conversational QA—0
Exploring Embedding Priors in Prompt-Tuning for Improved Interpretability and Control—0
Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction—0
Annotating Zero Anaphora for Question Answering—0
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks—0
From Pixels to Objects: Cubic Visual Attention for Visual Question Answering—0
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing—0
From Questions to Insightful Answers: Building an Informed Chatbot for University Resources—0
From Shakespeare to Twitter: What are Language Styles all about?—0
Frustratingly Easy Natural Question Answering—0
Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion—0
Exploring Knowledge Boundaries in Large Language Models for Retrieval Judgment—0
Chain of Reasoning for Visual Question Answering—0
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering—0
Exploring Markov Logic Networks for Question Answering—0
Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long—0
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?—0
Don't Read Too Much into It: Adaptive Computation for Open-Domain 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