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 5426–5450 of 10817 papers

TitleStatusHype
Image Semantic Relation Generation—0
Cooperative Self-training of Machine Reading Comprehension—0
Large Language Models are Null-Shot Learners—0
Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach—0
Image Position Prediction in Multimodal Documents—0
A topic-aware graph neural network model for knowledge base updating—0
Detours for Navigating Instructional Videos—0
Analysis of the Reasoning with Redundant Information Provided Ability of Large Language Models—0
Large Language Models Can Self-Correct with Key Condition Verification—0
Large Language Models Can Self-Improve—0
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision—0
Image Manipulation via Multi-Hop Instructions -- A New Dataset and Weakly-Supervised Neuro-Symbolic Approach—0
Large Language Models for Judicial Entity Extraction: A Comparative Study—0
A Deep Learning Approach for Expert Identification in Question Answering Communities—0
Image Captioning with Compositional Neural Module Networks—0
Large Language Models for Social Networks: Applications, Challenges, and Solutions—0
Cooperative Denoising for Distantly Supervised Relation Extraction—0
A tool suite for creating question answering benchmarks—0
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge—0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks—0
Development of Hybrid Algorithm for Automatic Extraction of Multiword Expressions from Monolingual and Parallel Corpus of English and Punjabi—0
COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Cooking with Semantics—0
Analysis of Temporal Expressions Annotated in Clinical Notes—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