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 4001–4050 of 10817 papers

TitleStatusHype
Handling Ontology Gaps in Semantic ParsingCode0
HaluEval-Wild: Evaluating Hallucinations of Language Models in the WildCode0
Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language ModelsCode0
HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language ModelsCode0
How FaR Are Large Language Models From Agents with Theory-of-Mind?Code0
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason ObjectivesCode0
HalLoc: Token-level Localization of Hallucinations for Vision Language ModelsCode0
HaleLab_NITK@SMM4H’22: Adaptive Learning Model for Effective Detection, Extraction and Normalization of Adverse Drug Events from Social Media DataCode0
Hallucination Benchmark in Medical Visual Question AnsweringCode0
A Memory-Network Based Solution for Multivariate Time-Series ForecastingCode0
HAIBU-ReMUD: Reasoning Multimodal Ultrasound Dataset and Model Bridging to General Specific DomainsCode0
Hallucination Mitigation Prompts Long-term Video UnderstandingCode0
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge GraphCode0
HALLUCINOGEN: A Benchmark for Evaluating Object Hallucination in Large Visual-Language ModelsCode0
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge TypesCode0
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace TheoryCode0
GUIDEQ: Framework for Guided Questioning for progressive informational collection and classificationCode0
Fine-Grained Stateful Knowledge Exploration: A Novel Paradigm for Integrating Knowledge Graphs with Large Language ModelsCode0
Guiding Extractive Summarization with Question-Answering RewardsCode0
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsCode0
Towards Flexible Evaluation for Generative Visual Question AnsweringCode0
Faithful Embeddings for Knowledge Base QueriesCode0
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision MakingCode0
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answeringCode0
Grounded Graph Decoding Improves Compositional Generalization in Question AnsweringCode0
FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story VideosCode0
Scaling Reasoning can Improve Factuality in Large Language ModelsCode0
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference ResolutionCode0
Visual Question Answering: Datasets, Algorithms, and Future ChallengesCode0
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading ComprehensionCode0
AmazonQA: A Review-Based Question Answering TaskCode0
Comparative Study of Machine Learning Models and BERT on SQuADCode0
Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and TasksCode0
A mathematical model for universal semanticsCode0
GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language ModelsCode0
From Feature Importance to Natural Language Explanations Using LLMs with RAGCode0
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic SystemsCode0
Compact Trilinear Interaction for Visual Question AnsweringCode0
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question AnsweringCode0
Grounding Answers for Visual Questions Asked by Visually Impaired PeopleCode0
CommVQA: Situating Visual Question Answering in Communicative ContextsCode0
Community Question Answering Entity Linking via Leveraging Auxiliary DataCode0
A Little Human Data Goes A Long WayCode0
Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise DetectionCode0
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge GraphsCode0
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data AugmentationCode0
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative ModelsCode0
Commonsense Properties from Query Logs and Question Answering ForumsCode0
Commonsense Knowledge Mining from Term DefinitionsCode0
A Dataset for Spatiotemporal-Sensitive POI Question AnsweringCode0
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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