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 1101–1150 of 10817 papers

TitleStatusHype
CLIP-Guided Vision-Language Pre-training for Question Answering in 3D ScenesCode1
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP EducationCode1
Greedy Gradient Ensemble for Robust Visual Question AnsweringCode1
CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical ReasoningCode1
Graphusion: A RAG Framework for Knowledge Graph Construction with a Global PerspectiveCode1
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge AlignmentCode1
Comprehensive Visual Question Answering on Point Clouds through Compositional Scene ManipulationCode1
Graph Optimal Transport for Cross-Domain AlignmentCode1
Classification-Regression for Chart ComprehensionCode1
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and ReportsCode1
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual ReasoningCode1
GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question AnsweringCode1
GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task AssistantsCode1
HAAR: Text-Conditioned Generative Model of 3D Strand-based Human HairstylesCode1
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language GenerationCode1
Citekit: A Modular Toolkit for Large Language Model Citation GenerationCode1
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City SpaceCode1
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question AnsweringCode1
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper PagesCode1
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted AttackCode1
CKBP v2: Better Annotation and Reasoning for Commonsense Knowledge Base PopulationCode1
Graph Attention NetworksCode1
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal UnderstandingCode1
Gracefully Filtering Backdoor Samples for Generative Large Language Models without RetrainingCode1
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language ModelsCode1
3D-Aware Visual Question Answering about Parts, Poses and OcclusionsCode1
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systemsCode1
GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question AnsweringCode1
ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step VerificationCode1
Check It Again: Progressive Visual Question Answering via Visual EntailmentCode1
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language ModelsCode1
Check It Again:Progressive Visual Question Answering via Visual EntailmentCode1
ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action ModelCode1
ClarQ: A large-scale and diverse dataset for Clarification Question GenerationCode1
A Comparative Study of Pretrained Language Models for Long Clinical TextCode1
ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human PreferencesCode1
Good Questions Help Zero-Shot Image ReasoningCode1
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question AnsweringCode1
Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question AnsweringCode1
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQACode1
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical ReasoningCode1
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual ModelingCode1
ChartInstruct: Instruction Tuning for Chart Comprehension and ReasoningCode1
ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question AnsweringCode1
CharBERT: Character-aware Pre-trained Language ModelCode1
Advancing High Resolution Vision-Language Models in BiomedicineCode1
Glance and Focus: Memory Prompting for Multi-Event Video Question AnsweringCode1
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual WorldsCode1
Change Detection Meets Visual Question AnsweringCode1
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic DimensionCode1
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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