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 15011550 of 10817 papers

TitleStatusHype
DOM-LM: Learning Generalizable Representations for HTML DocumentsCode1
Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM InteractionsCode1
BRAINTEASER: Lateral Thinking Puzzles for Large Language ModelsCode1
Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World EnvironmentsCode1
BiMediX: Bilingual Medical Mixture of Experts LLMCode1
Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific InformationCode1
Does Vision-and-Language Pretraining Improve Lexical Grounding?Code1
Lila: A Unified Benchmark for Mathematical ReasoningCode1
BioBERT: a pre-trained biomedical language representation model for biomedical text miningCode1
BioBridge: Bridging Biomedical Foundation Models via Knowledge GraphsCode1
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset BiasesCode1
BioELECTRA:Pretrained Biomedical text Encoder using DiscriminatorsCode1
DocVQA: A Dataset for VQA on Document ImagesCode1
DocVXQA: Context-Aware Visual Explanations for Document Question AnsweringCode1
Bridging Anaphora Resolution as Question AnsweringCode1
Lite Transformer with Long-Short Range AttentionCode1
Dynamically Fused Graph Network for Multi-hop ReasoningCode1
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document UnderstandingCode1
Fool Your (Vision and) Language Model With Embarrassingly Simple PermutationsCode1
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsCode1
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterCode1
Distilled Dual-Encoder Model for Vision-Language UnderstandingCode1
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence AnnotationCode1
A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question AnsweringCode1
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence AnnotationCode1
Distilling Knowledge from Reader to Retriever for Question AnsweringCode1
Disentangling 3D Prototypical Networks For Few-Shot Concept LearningCode1
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and GenerationCode1
Discovering Spatio-Temporal Rationales for Video Question AnsweringCode1
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question AnsweringCode1
LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMsCode1
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity LinkingCode1
Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under DiscussionCode1
BiomedRAG: A Retrieval Augmented Large Language Model for BiomedicineCode1
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question AnsweringCode1
Distinguishing Ignorance from Error in LLM HallucinationsCode1
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge GraphsCode1
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning StrategiesCode1
DialSim: A Real-Time Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational AgentsCode1
BioProBench: Comprehensive Dataset and Benchmark in Biological Protocol Understanding and ReasoningCode1
Differentiable Reasoning on Large Knowledge Bases and Natural LanguageCode1
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseCode1
Dialog Inpainting: Turning Documents into DialogsCode1
DEXTER: A Benchmark for open-domain Complex Question Answering using LLMsCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resourcesCode1
Detecting Hate Speech in Multi-modal MemesCode1
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question AnsweringCode1
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip PredictionCode1
DeVLBert: Learning Deconfounded Visio-Linguistic RepresentationsCode1
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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