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

Showing 36513700 of 10817 papers

TitleStatusHype
Exploring and Evaluating Personalized Models for Code Generation0
Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?0
Annotation and Analysis of Discourse Relations, Temporal Relations and Multi-Layered Situational Relations in Japanese Texts0
Exploring BERT Parameter Efficiency on the Stanford Question Answering Dataset v2.00
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?0
Exploring Diverse Expressions for Paraphrase Generation0
Exploring Diverse Methods in Visual Question Answering0
DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures0
Exploring Embedding Priors in Prompt-Tuning for Improved Interpretability and Control0
Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction0
A Concept-Centric Approach to Multi-Modality Learning0
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks0
DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment0
Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs0
A Framework for Rationale Extraction for Deep QA models0
DoQA - Accessing Domain-Specific FAQs via Conversational QA0
DoQA -- Accessing Domain-Specific FAQs via Conversational QA0
Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion0
Exploring Knowledge Boundaries in Large Language Models for Retrieval Judgment0
Chain of Reasoning for Visual Question Answering0
Explicit Utilization of General Knowledge in Machine Reading Comprehension0
Exploring Markov Logic Networks for Question Answering0
Annotating Zero Anaphora for Question Answering0
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?0
Frustratingly Hard Evidence Retrieval for QA Over Books0
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.00
Functorial Language Games for Question Answering0
Generalizable Neuro-symbolic Systems for Commonsense Question Answering0
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering0
Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long0
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering0
Annotating the Focus of Negation in Japanese Text0
From Text to Visuals: Using LLMs to Generate Math Diagrams with Vector Graphics0
Exploring Spatial Language Grounding Through Referring Expressions0
Exploring Temporal Vagueness with Mechanical Turk0
Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System0
Annotating Relation Inference in Context via Question Answering0
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering0
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering0
Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test0
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models0
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs0
Exploring the Feasibility of ChatGPT for Event Extraction0
Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions0
Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering0
Exploring the Impact of Occupational Personas on Domain-Specific QA0
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data0
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking0
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs0
Do not let the history haunt you -- Mitigating Compounding Errors in Conversational Question Answering0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified