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 8776–8800 of 10817 papers

TitleStatusHype
Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks—0
Learning to Specialize with Knowledge Distillation for Visual Question Answering—0
Learning to Summarise Related Sentences—0
Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions—0
Learning to Temporally Order Medical Events in Clinical Text—0
Learning to Translate for Multilingual Question Answering—0
Learning to Transpile AMR into SPARQL—0
Learning to Transpile AMR into SPARQL—0
Learning Trajectory-Word Alignments for Video-Language Tasks—0
Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks—0
Learning Verb Inference Rules from Linguistically-Motivated Evidence—0
Learning Visual Knowledge Memory Networks for Visual Question Answering—0
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision—0
Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data—0
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA—0
Learning with Limited Data for Multilingual Reading Comprehension—0
Learning Word Embeddings for Low-Resource Languages by PU Learning—0
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations—0
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism—0
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning—0
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models—0
Legal Question Answering using Ranking SVM and Deep Convolutional Neural Network—0
LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval—0
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models—0
LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?—0
Show:102550
← PrevPage 352 of 433Next →
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