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 4501–4550 of 10817 papers

TitleStatusHype
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema ModelingCode1
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative ExamplesCode0
OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsCode2
HPE:Answering Complex Questions over Text by Hybrid Question Parsing and Execution—0
Improving Small Language Models on PubMedQA via Generative Data Augmentation—0
Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over TableCode1
Implications of Deep Circuits in Improving Quality of Quantum Question Answering—0
A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information—0
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust—0
Self-Chained Image-Language Model for Video Localization and Question AnsweringCode1
WebCPM: Interactive Web Search for Chinese Long-form Question AnsweringCode2
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingCode1
Evaluating Open-Domain Question Answering in the Era of Large Language ModelsCode1
Long-Tailed Question Answering in an Open World—0
Overinformative Question Answering by Humans and Machines—0
AfriQA: Cross-lingual Open-Retrieval Question Answering for African LanguagesCode1
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering ModelsCode0
Benchmarking large language models for biomedical natural language processing applications and recommendationsCode1
Combo of Thinking and Observing for Outside-Knowledge VQACode1
Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense KnowledgeCode0
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks—0
A Glimpse in ChatGPT Capabilities and its impact for AI research—0
VideoChat: Chat-Centric Video UnderstandingCode4
Decker: Double Check with Heterogeneous Knowledge for Commonsense Fact VerificationCode1
Automatic Evaluation of Attribution by Large Language ModelsCode1
Unsupervised Dense Retrieval Training with Web AnchorsCode0
Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering—0
Large Language Models Need Holistically Thought in Medical Conversational QACode0
Vision-Language Models in Remote Sensing: Current Progress and Future TrendsCode1
Large Language Model Programs—0
MAUPQA: Massive Automatically-created Polish Question Answering Dataset—0
Knowledge-enhanced Agents for Interactive Text Games—0
Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question AnsweringCode0
A Frustratingly Easy Improvement for Position Embeddings via Random Padding—0
SkillQG: Learning to Generate Question for Reading Comprehension Assessment—0
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering—0
Visual Causal Scene Refinement for Video Question AnsweringCode3
OpenViVQA: Task, Dataset, and Multimodal Fusion Models for Visual Question Answering in VietnameseCode0
Adaptive loose optimization for robust question answeringCode0
SRTK: A Toolkit for Semantic-relevant Subgraph RetrievalCode1
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought FrameworkCode1
NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-CheckingCode0
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Mixed Large Language Model Signals for Science Question AnsweringCode1
From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base—0
Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning QuestionCode0
LMEye: An Interactive Perception Network for Large Language ModelsCode1
Analysis of Visual Question Answering Algorithms with attention model—0
DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For QA Domain Adaptation—0
Chain-of-Skills: A Configurable Model for Open-domain Question AnsweringCode1
VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation—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