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 6351–6375 of 10817 papers

TitleStatusHype
Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity—0
LAVIS: A Library for Language-Vision Intelligence—0
Miutsu: NTU's TaskBot for the Alexa Prize—0
MIVC: Multiple Instance Visual Component for Visual-Language Models—0
Dialogue over Context and Structured Knowledge using a Neural Network Model with External Memories—0
Mixed Membership Markov Models for Unsupervised Conversation Modeling—0
Bayesian Networks for Named Entity Prediction in Programming Community Question Answering—0
LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement—0
Bayesian Deep Learning for Interactive Community Question Answering—0
Mixing in Some Knowledge: Enriched Context Patterns for Bayesian Word Sense Induction—0
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects—0
Latent-Variable PCFGs: Background and Applications—0
Latent Variable Models for Visual Question Answering—0
Latent Trees for Coreference Resolution—0
Latent Space Embedding for Retrieval in Question-Answer Archives—0
Dialogue Act Recognition for Text-based Sinhala—0
Latent Semantic Tensor Indexing for Community-based Question Answering—0
Latent Question Reformulation and Information Accumulation for Multi-Hop Machine Reading—0
Dialog state tracking, a machine reading approach using Memory Network—0
Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering—0
Bayesian Attention Belief Networks—0
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources—0
LasigeBioTM at MEDIQA 2019: Biomedical Question Answering using Bidirectional Transformers and Named Entity Recognition—0
BAT: Learning to Reason about Spatial Sounds with Large Language Models—0
LARSA22 at Qur’an QA 2022: Text-to-Text Transformer for Finding Answers to Questions from Qur’an—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