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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5101–5125 of 10817 papers

TitleStatusHype
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond—0
Large Search Model: Redefining Search Stack in the Era of LLMs—0
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter—0
Strong and Efficient Baselines for Open Domain Conversational Question Answering—0
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific RewardsCode0
Generative Pre-trained Transformer for Vietnamese Community-based COVID-19 Question Answering—0
An In-Context Schema Understanding Method for Knowledge Base Question Answering—0
Retrieval-Augmented Chain-of-Thought in Semi-structured Domains—0
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems—0
QA-NatVer: Question Answering for Natural Logic-based Fact VerificationCode0
Large Language Models and Multimodal Retrieval for Visual Word Sense DisambiguationCode0
A Simple Baseline for Knowledge-Based Visual Question AnsweringCode0
Optimizing Retrieval-augmented Reader Models via Token EliminationCode0
SILC: Improving Vision Language Pretraining with Self-Distillation—0
Self-Consistency of Large Language Models under AmbiguityCode0
Primacy Effect of ChatGPTCode0
POSQA: Probe the World Models of LLMs with Size ComparisonsCode0
Test-Time Self-Adaptive Small Language Models for Question AnsweringCode0
Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation—0
CLIFT: Analysing Natural Distribution Shift on Question Answering Models in Clinical DomainCode0
PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering GroundingCode0
RSAdapter: Adapting Multimodal Models for Remote Sensing Visual Question AnsweringCode0
Time-Aware Representation Learning for Time-Sensitive Question AnsweringCode0
Reliable Academic Conference Question Answering: A Study Based on Large Language ModelCode0
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks—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