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 8076–8100 of 10817 papers

TitleStatusHype
Recurrent and Contextual Models for Visual Question Answering—0
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project—0
A Case Study Towards Turkish Paraphrase Alignment—0
Recurrent Neural Network Encoder with Attention for Community Question Answering—0
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs—0
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models—0
Recursively Summarizing Books with Human Feedback—0
Assessing the Robustness of Retrieval-Augmented Generation Systems in K-12 Educational Question Answering with Knowledge Discrepancies—0
Recursive Tree-Structured Self-Attention for Answer Sentence Selection—0
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities—0
Global Inference to Chinese Temporal Relation Extraction—0
Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking—0
Red Dragon AI at TextGraphs 2020 Shared Task : LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking—0
ReDecode Framework for Iterative Improvement in Paraphrase Generation—0
Redefining Information Retrieval of Structured Database via Large Language Models—0
From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts—0
RedStone: Curating General, Code, Math, and QA Data for Large Language Models—0
Reliable, Adaptable, and Attributable Language Models with Retrieval—0
Reducing Hallucinations: Enhancing VQA for Flood Disaster Damage Assessment with Visual Contexts—0
Assessing The Potential Of Mid-Sized Language Models For Clinical QA—0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks—0
Comparative Analysis of Retrieval Systems in the Real World—0
Generating Question Relevant Captions to Aid Visual Question Answering—0
Redundancy Localization for the Conversationalization of Unstructured Responses—0
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts—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