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

Showing 37113720 of 10817 papers

TitleStatusHype
Image Question Answering using Convolutional Neural Network with Dynamic Parameter PredictionCode0
Contrastive Representation Learning for Conversational Question Answering over Knowledge GraphsCode0
Image Content Generation with Causal ReasoningCode0
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question AnsweringCode0
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word RepresentationsCode0
Illusory VQA: Benchmarking and Enhancing Multimodal Models on Visual IllusionsCode0
Contrastive Learning for Task-Independent SpeechLLM-PretrainingCode0
IMAD: IMage-Augmented multi-modal DialogueCode0
A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question AnsweringCode0
ILLUME: Rationalizing Vision-Language Models through Human InteractionsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified