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 3251–3275 of 10817 papers

TitleStatusHype
End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension—0
End-to-end argumentation knowledge graph construction—0
Bridging the Preference Gap between Retrievers and LLMs—0
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering—0
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition—0
End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs—0
Bridging the Training-Inference Gap for Dense Phrase Retrieval—0
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets—0
End-to-End Learning for Answering Structured Queries Directly over Text—0
Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering—0
Exploring Question Decomposition for Zero-Shot VQA—0
Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA—0
Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test—0
DualNet: Domain-Invariant Network for Visual Question Answering—0
Bilingual Event Extraction: a Case Study on Trigger Type Determination—0
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training—0
Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems—0
Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora—0
A Novel Attention-based Aggregation Function to Combine Vision and Language—0
Dual Embeddings and Metrics for Relational Similarity—0
Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering—0
Bring Remote Sensing Object Detect Into Nature Language Model: Using SFT Method—0
Dual Co-Matching Network for Multi-choice Reading Comprehension—0
End-to-End Vision Tokenizer Tuning—0
BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph—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