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 6076–6100 of 10817 papers

TitleStatusHype
Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns—0
Learning Sentiment Lexicons in Spanish—0
Learning Semantic Textual Similarity with Structural Representations—0
Discovering Fine-Grained Semantics in Knowledge Graph Relations—0
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach—0
MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection—0
MASTER: A Multi-Agent System with LLM Specialized MCTS—0
Mastering Board Games by External and Internal Planning with Language Models—0
Match^2: A Matching over Matching Model for Similar Question Identification—0
An experimental study of the vision-bottleneck in VQA—0
Learning Semantic Structure through First-Order-Logic Translation—0
Learning Semantic Relatedness in Community Question Answering Using Neural Models—0
Discovering Better Model Architectures for Medical Query Understanding—0
Learning Scalar Adjective Intensity from Paraphrases—0
MATE: Multi-view Attention for Table Transformer Efficiency—0
Discourse-sensitive Automatic Identification of Generic Expressions—0
Learning Rich Representation of Keyphrases from Text—0
Learning Rich Image Region Representation for Visual Question Answering—0
Learning Representations of Entities and Relations—0
Discourse Parsing with Attention-based Hierarchical Neural Networks—0
Benchmarking Foundation Models with Language-Model-as-an-Examiner—0
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources—0
MAUPQA: Massive Automatically-created Polish Question Answering Dataset—0
An Exam-based Evaluation Approach Beyond Traditional Relevance Judgments—0
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization—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