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 6426–6450 of 10817 papers

TitleStatusHype
Model Agnostic Answer Reranking System for Adversarial Question Answering—0
Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes—0
Model Card and Evaluations for Claude Models—0
Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System—0
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System—0
Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking—0
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems—0
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use—0
Modeling Context in Answer Sentence Selection Systems on a Latency Budget—0
BAS: An Answer Selection Method Using BERT Language Model—0
Modeling discourse cohesion for discourse parsing via memory network—0
Large-scale CCG Induction from the Groningen Meaning Bank—0
Modeling Exemplification in Long-form Question Answering via Retrieval—0
DiagGPT: An LLM-based and Multi-agent Dialogue System with Automatic Topic Management for Flexible Task-Oriented Dialogue—0
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion—0
Modeling Multi-hop Question Answering as Single Sequence Prediction—0
Modeling Multi-hop Question Answering as Single Sequence Prediction—0
Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering—0
Modeling Semantic Relations Expressed by Prepositions—0
Large-Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity—0
Large-Scale Acquisition of Commonsense Knowledge via a Quiz Game on a Dialogue System—0
DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue—0
Modeling Task Effects in Human Reading with Neural Network-based Attention—0
BARTPhoBEiT: Pre-trained Sequence-to-Sequence and Image Transformers Models for Vietnamese Visual Question Answering—0
A Neural Question Answering System for Basic Questions about Subroutines—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