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 5201–5250 of 10817 papers

TitleStatusHype
A Graph-Guided Reasoning Approach for Open-ended Commonsense Question Answering—0
End-to-End Table Question Answering via Retrieval-Augmented Generation—0
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model—0
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training—0
End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights—0
A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering—0
A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia—0
A Bayesian Approach to Unsupervised Semantic Role Induction—0
Iterative Hierarchical Attention for Answering Complex Questions over Long Documents—0
End-to-End Learning for Answering Structured Queries Directly over Text—0
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens—0
Answer Presentation in Question Answering over Linked Data using Typed Dependency Subtree Patterns—0
Bridging the Training-Inference Gap for Dense Phrase Retrieval—0
End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs—0
End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings—0
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets—0
A Graph-Based Approach to String Regeneration—0
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering—0
Bridging the Preference Gap between Retrievers and LLMs—0
End-to-end argumentation knowledge graph construction—0
End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension—0
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering—0
END: Early Noise Dropping for Efficient and Effective Context Denoising—0
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories—0
Encoding Semantic Resources in Syntactic Structures for Passage Reranking—0
Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge—0
Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering—0
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings—0
Encoding Implicit Relation Requirements for Relation Extraction: A Joint Inference Approach—0
Encoding Explanatory Knowledge for Zero-shot Science Question Answering—0
Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs—0
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering—0
Bridging the Gap: Deciphering Tabular Data Using Large Language Model—0
Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic—0
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation—0
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation—0
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling—0
Answer Interaction in Non-factoid Question Answering Systems—0
Emulating Human Cognitive Processes for Expert-Level Medical Question-Answering with Large Language Models—0
emrQA-msquad: A Medical Dataset Structured with the SQuAD V2.0 Framework, Enriched with emrQA Medical Information—0
Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision—0
Bridging the Gap Between Information Seeking and Product Search Systems: Q&A Recommendation for E-commerce—0
Answering Yes/No Questions via Question Inversion—0
Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents—0
Empowering LLMs with Logical Reasoning: A Comprehensive Survey—0
Bridging Technology and Humanities: Evaluating the Impact of Large Language Models on Social Sciences Research with DeepSeek-R1—0
Answering Yes-No Questions by Penalty Scoring in History Subjects of University Entrance Examinations—0
AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning—0
Abacus: A Cost-Based Optimizer for Semantic Operator Systems—0
Empowering Language Models with Knowledge Graph Reasoning for Question Answering—0
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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