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 801–850 of 10817 papers

TitleStatusHype
3D Vision and Language Pretraining with Large-Scale Synthetic DataCode1
Entailment Tree Explanations via Iterative Retrieval-Generation ReasonerCode1
DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical DomainCode1
DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question AnsweringCode1
ECG-QA: A Comprehensive Question Answering Dataset Combined With ElectrocardiogramCode1
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningCode1
A Critical Evaluation of Evaluations for Long-form Question AnsweringCode1
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsCode1
Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific InformationCode1
Answer is All You Need: Instruction-following Text Embedding via Answering the QuestionCode1
A Cross-Task Analysis of Text Span RepresentationsCode1
Ethics Sheets for AI TasksCode1
AfriQA: Cross-lingual Open-Retrieval Question Answering for African LanguagesCode1
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLPCode1
Does Vision-and-Language Pretraining Improve Lexical Grounding?Code1
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive SummarizationCode1
DocVXQA: Context-Aware Visual Explanations for Document Question AnsweringCode1
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language ModelsCode1
DocVQA: A Dataset for VQA on Document ImagesCode1
DOM-LM: Learning Generalizable Representations for HTML DocumentsCode1
An Optimal Algorithm for Finding Champions in Tournament GraphsCode1
Evaluating Theory of Mind in Question AnsweringCode1
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer SummarizationCode1
Event Extraction as Question Generation and AnsweringCode1
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
Evolving Prompts In-Context: An Open-ended, Self-replicating PerspectiveCode1
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented GenerationCode1
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image DetectorsCode1
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question AnsweringCode1
Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural NetworksCode1
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
Diversify Question Generation with Retrieval-Augmented Style TransferCode1
Exploring and Predicting Transferability across NLP TasksCode1
Exploring Dual Encoder Architectures for Question AnsweringCode1
Exploring Perceptual Limitation of Multimodal Large Language ModelsCode1
Ditch the Gold Standard: Re-evaluating Conversational Question AnsweringCode1
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and IntentsCode1
Exploring the Benefits of Training Expert Language Models over Instruction TuningCode1
A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeCode1
Exposing Shallow Heuristics of Relation Extraction Models with Challenge DataCode1
Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World EnvironmentsCode1
Extracting Definienda in Mathematical Scholarly Articles with TransformersCode1
FaceBench: A Multi-View Multi-Level Facial Attribute VQA Dataset for Benchmarking Face Perception MLLMsCode1
Factual Confidence of LLMs: on Reliability and Robustness of Current EstimatorsCode1
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterCode1
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence AnnotationCode1
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense ReasoningCode1
Fauno: The Italian Large Language Model that will leave you senza parole!Code1
ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple SentencesCode1
Distilled Dual-Encoder Model for Vision-Language UnderstandingCode1
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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