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 3251–3300 of 10817 papers

TitleStatusHype
Answer-level Calibration for Free-form Multiple Choice Question AnsweringCode0
PARMA: A Predicate Argument AlignerCode0
Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question AnsweringCode0
Automatic Extraction of Disease Risk Factors from Medical PublicationsCode0
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task LearningCode0
KL-Divergence Guided Temperature SamplingCode0
Knowledge Generation for Zero-shot Knowledge-based VQACode0
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question AnsweringCode0
LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question AnsweringCode0
Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question AnsweringCode0
Key-Value Memory Networks for Directly Reading DocumentsCode0
KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple SubgoalsCode0
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question AnsweringCode0
Data-driven Approach for Quality Evaluation on Knowledge Sharing PlatformCode0
Data Distribution Bottlenecks in Grounding Language Models to Knowledge BasesCode0
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question AnsweringCode0
KBAlign: Efficient Self Adaptation on Specific Knowledge BasesCode0
Data Augmentation for Biomedical Factoid Question AnsweringCode0
Katecheo: A Portable and Modular System for Multi-Topic Question AnsweringCode0
KazQAD: Kazakh Open-Domain Question Answering DatasetCode0
DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge GraphsCode0
KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge BaseCode0
KaggleDBQA: Realistic Evaluation of Text-to-SQL ParsersCode0
K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected CompressorCode0
Just ASR + LLM? A Study on Speech Large Language Models' Ability to Identify and Understand Speaker in Spoken DialogueCode0
Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?Code0
'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) TasksCode0
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language ModelsCode0
Joint Learning of Answer Selection and Answer Summary Generation in Community Question AnsweringCode0
Joint Answering and Explanation for Visual Commonsense ReasoningCode0
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value ExtractionCode0
Just ClozE! A Novel Framework for Evaluating the Factual Consistency Faster in Abstractive SummarizationCode0
D3: Data Diversity Design for Systematic Generalization in Visual Question AnsweringCode0
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any LanguageCode0
Automated Text-to-Table for Reasoning-Intensive Table QA: Pipeline Design and Benchmarking InsightsCode0
Build a Robust QA System with Transformer-based Mixture of ExpertsCode0
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering CapabilityCode0
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020Code0
Specification and Evaluation of Multi-Agent LLM Systems -- Prototype and Cybersecurity ApplicationsCode0
CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-raysCode0
"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of FeasibilityCode0
p-Laplacian Adaptation for Generative Pre-trained Vision-Language ModelsCode0
Building a Dictionary of Affixal NegationsCode0
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent VariableCode0
cViL: Cross-Lingual Training of Vision-Language Models using Knowledge DistillationCode0
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian PhilosophyCode0
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch CorrectnessCode0
Iterative Alternating Neural Attention for Machine ReadingCode0
Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QACode0
A Dual-Attention Learning Network with Word and Sentence Embedding for Medical Visual 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