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 2651–2700 of 10817 papers

TitleStatusHype
Answering Naturally: Factoid to Full length Answer GenerationCode0
Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?Code0
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge InjectionCode0
LiveQA: A Question Answering Dataset over Sports LiveCode0
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty ExpressionCode0
LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach PromptsCode0
Answering Diverse Questions via Text Attached with Key Audio-Visual CluesCode0
Listen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language ModelsCode0
Answering Count Queries with Explanatory EvidenceCode0
LININ: Logic Integrated Neural Inference Network for Explanatory Visual Question AnsweringCode0
Listen Then See: Video Alignment with Speaker AttentionCode0
Lightweight Recurrent Cross-modal Encoder for Video Question AnsweringCode0
Likelihood as a Performance Gauge for Retrieval-Augmented GenerationCode0
Blockwise Self-Attention for Long Document UnderstandingCode0
Answering Complex Questions Using Open Information ExtractionCode0
Block-Skim: Efficient Question Answering for TransformerCode0
LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature ReviewsCode0
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship DetectionCode0
Lexicalization Is All You Need: Examining the Impact of Lexical Knowledge in a Compositional QALD SystemCode0
Blindness to Modality Helps Entailment Graph MiningCode0
Blindfold Baselines for Embodied QACode0
Answering Complex Open-domain Questions Through Iterative Query GenerationCode0
AGent: A Novel Pipeline for Automatically Creating Unanswerable QuestionsCode0
BizFinBench: A Business-Driven Real-World Financial Benchmark for Evaluating LLMsCode0
4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object UnderstandingCode0
Leveraging Structured Information for Explainable Multi-hop Question Answering and ReasoningCode0
Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering PlatformsCode0
Limited Ability of LLMs to Simulate Human Psychological Behaviours: a Psychometric AnalysisCode0
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
Leveraging Large Language Models in Code Question Answering: Baselines and IssuesCode0
Leveraging LLMs in Scholarly Knowledge Graph Question AnsweringCode0
Less is More: Rejecting Unreliable Reviews for Product Question AnsweringCode0
Targeted Visual Prompting for Medical Visual Question AnsweringCode0
Towards Efficient Methods in Medical Question Answering using Knowledge Graph EmbeddingsCode0
Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language ModelCode0
BioRead: A New Dataset for Biomedical Reading ComprehensionCode0
BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&ACode0
A Generalized Framework of Sequence Generation with Application to Undirected Sequence ModelsCode0
Length Optimization in Conformal PredictionCode0
Answer Consolidation: Formulation and BenchmarkingCode0
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine TranslationCode0
MapQaTor: An Extensible Framework for Efficient Annotation of Map-Based QA DatasetsCode0
Optimizing Retrieval-augmented Reader Models via Token EliminationCode0
Answer Complex Questions: Path Ranker Is All You NeedCode0
BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical QuestionsCode0
A General Framework for Producing Interpretable Semantic Text EmbeddingsCode0
Learning Visual Question Answering by Bootstrapping Hard AttentionCode0
Learning to Search in Long Documents Using Document StructureCode0
Learning to Select from Multiple OptionsCode0
Biomedical Named Entity Recognition at ScaleCode0
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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