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

Showing 13311340 of 10817 papers

TitleStatusHype
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement LearningCode1
Dense Passage Retrieval for Open-Domain Question AnsweringCode1
From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language ModelsCode1
Detecting and Preventing Hallucinations in Large Vision Language ModelsCode1
DELIFT: Data Efficient Language model Instruction Fine TuningCode1
Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart UnderstandingCode1
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL ModelsCode1
Benchmarking Geospatial Question Answering Engines using the Dataset GeoQuestions1089Code1
AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge ReasoningCode1
Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question AnsweringCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified