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 9401–9425 of 10817 papers

TitleStatusHype
Understanding Attention for Vision-and-Language Tasks—0
Understanding BLOOM: An empirical study on diverse NLP tasks—0
On the Calibration of Multilingual Question Answering LLMs—0
Understanding Complexity in VideoQA via Visual Program Generation—0
Understanding Dataset Design Choices for Multi-hop Reasoning—0
Understanding Finetuning for Factual Knowledge Extraction—0
Understanding in Artificial Intelligence—0
Understanding Information Storage and Transfer in Multi-modal Large Language Models—0
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing—0
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes—0
Understanding Retrieval Augmentation for Long-Form Question Answering—0
Understanding the Behaviors of BERT in Ranking—0
Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation—0
Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries—0
Understanding the Logical and Semantic Structure of Large Documents—0
Understanding the Role of Scene Graphs in Visual Question Answering—0
Understanding Unnatural Questions Improves Reasoning over Text—0
Understanding Video Scenes through Text: Insights from Text-based Video Question Answering—0
Understand, Think, and Answer: Advancing Visual Reasoning with Large Multimodal Models—0
Unforgettable Generalization in Language Models—0
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering—0
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks—0
Bidirectional Contrastive Split Learning for Visual Question Answering—0
Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training—0
Unified Autoregressive Visual Generation and Understanding with Continuous Tokens—0
Show:102550
← PrevPage 377 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