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 3301–3325 of 10817 papers

TitleStatusHype
A Graph Traversal Based Approach to Answer Non-Aggregation Questions Over DBpedia—0
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents—0
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval—0
Mitigating the Risk of Health Inequity Exacerbated by Large Language Models—0
Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering—0
Enhancing Explainability in Multimodal Large Language Models Using Ontological Context—0
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies—0
Enhancing Financial Question Answering with a Multi-Agent Reflection Framework—0
Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation—0
Answer-Type Prediction for Visual Question Answering—0
Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering—0
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns—0
Big Help or Big Brother? Auditing Tracking, Profiling, and Personalization in Generative AI Assistants—0
Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering—0
Extracting Definitions and Hypernym Relations relying on Syntactic Dependencies and Support Vector Machines—0
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals—0
Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation—0
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology—0
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering—0
Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering—0
A Novel Approach Towards Incorporating Context Processing Capabilities in NLIDB System—0
Extracting Emotion Phrases from Tweets using BART—0
Building English-Vietnamese Named Entity Corpus with Aligned Bilingual News Articles—0
Enhancing Multi-Image Question Answering via Submodular Subset Selection—0
A Novel Approach for Automatic Bengali Question Answering System using Semantic Similarity Analysis—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