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 7551–7575 of 10817 papers

TitleStatusHype
Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing—0
Greenback Bears and Fiscal Hawks: Finance is a Jungle and Text Embeddings Must Adapt—0
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering—0
Probabilistic Databases of Universal Schema—0
Comprehensive Evaluation for a Large Scale Knowledge Graph Question Answering Service—0
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge—0
Probabilistic Neural Programs—0
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering—0
A Strong Lexical Matching Method for the Machine Comprehension Test—0
GreaseLM: Graph REASoning Enhanced Language Models—0
Comprehensive Audio Query Handling System with Integrated Expert Models and Contextual Understanding—0
Probing Difficulty and Discrimination of Natural Language Questions With Item Response Theory—0
GRASS: Unified Generation Model for Speech-to-Semantic Tasks—0
GraspCoT: Integrating Physical Property Reasoning for 6-DoF Grasping under Flexible Language Instructions—0
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training—0
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training—0
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering—0
Faithful Temporal Question Answering over Heterogeneous Sources—0
Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering—0
Probing the Role of Positional Information in Vision-Language Models—0
Probing Visual Language Priors in VLMs—0
Problematic Cases in the Annotation of Negation in Spanish—0
A strong baseline for question relevancy ranking—0
ProblemSolver at SemEval-2019 Task 10: Sequence-to-Sequence Learning and Expression Trees—0
A Method to Generate a Machine-Labeled Data for Biomedical Named Entity Recognition with Various Sub-Domains—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