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 37613770 of 10817 papers

TitleStatusHype
A Simple Baseline for Knowledge-Based Visual Question AnsweringCode0
SILC: Improving Vision Language Pretraining with Self-Distillation0
POSQA: Probe the World Models of LLMs with Size ComparisonsCode0
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language ModelCode1
Optimizing Retrieval-augmented Reader Models via Token EliminationCode0
Self-Consistency of Large Language Models under AmbiguityCode0
Primacy Effect of ChatGPTCode0
Test-Time Self-Adaptive Small Language Models for Question AnsweringCode0
Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop ReasoningCode1
CLIFT: Analysing Natural Distribution Shift on Question Answering Models in Clinical DomainCode0
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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