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 9351–9400 of 10817 papers

TitleStatusHype
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
Patent Figure Classification using Large Vision-language ModelsCode0
HAIBU-ReMUD: Reasoning Multimodal Ultrasound Dataset and Model Bridging to General Specific DomainsCode0
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsCode0
Copy-Move Forgery Detection and Question Answering for Remote Sensing ImageCode0
Convolutional Neural Network Architectures for Matching Natural Language SentencesCode0
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace TheoryCode0
Convincing Rationales for Visual Question Answering ReasoningCode0
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 QuestionsCode0
Multi-Agent Collaboration Mechanisms: A Survey of LLMsCode0
KL-Divergence Guided Temperature SamplingCode0
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge TypesCode0
Query-focused Extractive Summarisation for Biomedical and COVID-19 Complex Question AnsweringCode0
Conversational Machine Reading Comprehension for Vietnamese Healthcare TextsCode0
bgGLUE: A Bulgarian General Language Understanding Evaluation BenchmarkCode0
RetinaQA: A Robust Knowledge Base Question Answering Model for both Answerable and Unanswerable QuestionsCode0
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task LearningCode0
Guiding Extractive Summarization with Question-Answering RewardsCode0
Conversational BrowsingCode0
Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form GenerationCode0
Querying Knowledge via Multi-Hop English QuestionsCode0
GUIDEQ: Framework for Guided Questioning for progressive informational collection and classificationCode0
Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language ModelsCode0
Beyond Raw Videos: Understanding Edited Videos with Large Multimodal ModelCode0
AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question AnsweringCode0
Contrastive Representation Learning for Conversational Question Answering over Knowledge GraphsCode0
Multi-class Hierarchical Question Classification for Multiple Choice Science ExamsCode0
Faithful Embeddings for Knowledge Base QueriesCode0
AGent: A Novel Pipeline for Automatically Creating Unanswerable QuestionsCode0
Query-Reduction Networks for Question AnsweringCode0
Contrastive Learning for Task-Independent SpeechLLM-PretrainingCode0
ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question AnsweringCode0
RUBi: Reducing Unimodal Biases in Visual Question AnsweringCode0
An Empirical Study of Evaluating Long-form Question AnsweringCode0
An Empirical Study of Content Understanding in Conversational Question AnsweringCode0
Attacking Open-domain Question Answering by Injecting MisinformationCode0
Continual VQA for Disaster Response SystemsCode0
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language ModelsCode0
PAXQA: Generating Cross-lingual Question Answering Examples at Training ScaleCode0
Grounding Answers for Visual Questions Asked by Visually Impaired PeopleCode0
Beyond Language: Learning Commonsense from Images for ReasoningCode0
Pay Attention when RequiredCode0
Knowledge Base Index Compression via Dimensionality and Precision ReductionCode0
An Empirical Comparison of Generative Approaches for Product Attribute-Value IdentificationCode0
Continually Improving Extractive QA via Human FeedbackCode0
Grounded Graph Decoding Improves Compositional Generalization in Question AnsweringCode0
Knowledge Base Question Answering for Space Debris QueriesCode0
A Generalized Framework of Sequence Generation with Application to Undirected Sequence ModelsCode0
Knowledge Base Question Answering via Encoding of Complex Query GraphsCode0
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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