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
Mask4Align: Aligned Entity Prompting with Color Masks for Multi-Entity Localization Problems—0
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation—0
Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving—0
Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification—0
Contrastive Pre-training for Zero-Shot Information Retrieval—0
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?—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
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?—0
A Survey on Why-Type Question Answering Systems—0
MilkQA: a Dataset of Consumer Questions for the Task of Answer Selection—0
Human-Adversarial Visual Question Answering—0
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation—0
MATE: Multi-view Attention for Table Transformer Efficiency—0
Human Adversarial QA: Did the Model Understand the Paragraph?—0
Mathematical Information Retrieval: Search and Question Answering—0
Answerability Fields: Answerable Location Estimation via Diffusion Models—0
Huge Automatically Extracted Training-Sets for Multilingual Word SenseDisambiguation—0
Contrastive Data and Learning for Natural Language Processing—0
A survey on VQA_Datasets and Approaches—0
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources—0
MAUPQA: Massive Automatically-created Polish Question Answering Dataset—0
Maximizing Information Gain in Partially Observable Environments via Prediction Reward—0
HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images—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