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 28762900 of 10817 papers

TitleStatusHype
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching ModelCode0
Adversarial Training with OCR Modality Perturbation for Scene-Text Visual Question AnsweringCode0
LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach PromptsCode0
Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word ProblemCode0
Learning Intrinsic Sparse Structures within Long Short-Term MemoryCode0
Learning Representations of Sets through Optimized PermutationsCode0
Learning Distributed Representations of Texts and Entities from Knowledge BaseCode0
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question AnsweringCode0
Discourse Representation Structure ParsingCode0
Discourse Comprehension: A Question Answering Framework to Represent Sentence ConnectionsCode0
Learning content and context with language bias for Visual Question AnsweringCode0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
Learning Conditioned Graph Structures for Interpretable Visual Question AnsweringCode0
Learning to Deceive Knowledge Graph Augmented Models via Targeted PerturbationCode0
Learned in Translation: Contextualized Word VectorsCode0
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-TuningCode0
Leap-LSTM: Enhancing Long Short-Term Memory for Text CategorizationCode0
Learning a Cost-Effective Annotation Policy for Question AnsweringCode0
LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingCode0
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning TaskCode0
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?Code0
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language ModelsCode0
Large-scale Simple Question Answering with Memory NetworksCode0
Latent Alignment and Variational AttentionCode0
Large-scale Exploration of Neural Relation Classification ArchitecturesCode0
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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