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 1751–1800 of 10817 papers

TitleStatusHype
Complex Knowledge Base Question Answering: A SurveyCode1
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19Code1
EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language ModelsCode1
HCQA @ Ego4D EgoSchema Challenge 2024Code1
AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document SummarizationCode1
Harvesting and Refining Question-Answer Pairs for Unsupervised QACode1
Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over WikidataCode1
Referring Atomic Video Action RecognitionCode1
Complex Reasoning over Logical Queries on Commonsense Knowledge GraphsCode1
Hengam: An Adversarially Trained Transformer for Persian Temporal TaggingCode1
How Language Model Hallucinations Can SnowballCode1
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-trainingCode1
Hierarchical Conditional Relation Networks for Video Question AnsweringCode1
A Survey of Medical Vision-and-Language Applications and Their TechniquesCode1
Hidden Backdoors in Human-Centric Language ModelsCode1
Language Models Learn to Mislead Humans via RLHFCode1
AISecKG: Knowledge Graph Dataset for Cybersecurity EducationCode1
Hierarchical multimodal transformers for Multi-Page DocVQACode1
Language Models with Image Descriptors are Strong Few-Shot Video-Language LearnersCode1
Language Repository for Long Video UnderstandingCode1
CompAct: Compressing Retrieved Documents Actively for Question AnsweringCode1
Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive PrinciplesCode1
Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched PromptsCode1
CARE: Collaborative AI-Assisted Reading EnvironmentCode1
Language-Informed Visual Concept LearningCode1
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language GenerationCode1
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language ModelsCode1
Language Models are Unsupervised Multitask LearnersCode1
LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text InjectionCode1
Rethinking with Retrieval: Faithful Large Language Model InferenceCode1
Label-Descriptive Patterns and Their Application to Characterizing Classification ErrorsCode1
RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate SectorCode1
CommonsenseQA: A Question Answering Challenge Targeting Commonsense KnowledgeCode1
L3Cube-IndicQuest: A Benchmark Question Answering Dataset for Evaluating Knowledge of LLMs in Indic ContextCode1
HopWeaver: Synthesizing Authentic Multi-Hop Questions Across Text CorporaCode1
HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for ChineseCode1
LaMPP: Language Models as Probabilistic Priors for Perception and ActionCode1
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable MaskingCode1
Language Models as Science TutorsCode1
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer RepresentationsCode1
LaPA: Latent Prompt Assist Model For Medical Visual Question AnsweringCode1
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-trainingCode1
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM CollaborationCode1
Causal Distillation for Language ModelsCode1
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge BaseCode1
Korean-Specific Dataset for Table Question AnsweringCode1
Know What You Don't Know: Unanswerable Questions for SQuADCode1
Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question AnsweringCode1
ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question AnsweringCode1
KPQA: A Metric for Generative Question Answering Using Keyphrase WeightsCode1
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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