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 8051–8075 of 10817 papers

TitleStatusHype
Recent Progress in Deep Learning for NLP—0
Recent, rapid advancement in visual question answering architecture: a review—0
Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA—0
RECIPE: Applying Open Domain Question Answering to Privacy Policies—0
Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes—0
Reciprocal Attention Fusion for Visual Question Answering—0
Assessing the Robustness of Visual Question Answering Models—0
Reinforcing Question Answering Agents with Minimalist Policy Gradient Optimization—0
GLoMo: Unsupervised Learning of Transferable Relational Graphs—0
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving—0
Global Thread-Level Inference for Comment Classification in Community Question Answering—0
Recognition of Polish Temporal Expressions—0
A Case Study Towards Turkish Paraphrase Alignment—0
Assessing the Robustness of Retrieval-Augmented Generation Systems in K-12 Educational Question Answering with Knowledge Discrepancies—0
Global Inference to Chinese Temporal Relation Extraction—0
Recognizing Multimodal Entailment—0
Reinforcement Learning of Question-Answering Dialogue Policies for Virtual Museum Guides—0
Recognizing Textual Entailment Using Probabilistic Inference—0
From Easy to Hard: Two-stage Selector and Reader for Multi-hop Question Answering—0
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models—0
From Entity Linking to Question Answering -- Recent Progress on Semantic Grounding Tasks—0
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models—0
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering—0
Relational Graph Representation Learning for Open-Domain Question Answering—0
Assessing The Potential Of Mid-Sized Language Models For Clinical QA—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