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 4576–4600 of 10817 papers

TitleStatusHype
A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering—0
Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes—0
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning—0
EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging—0
Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations—0
A Review of Deep Learning for Video Captioning—0
Extrinsic Evaluation of Machine Translation Metrics—0
Extreme Classification for Answer Type Prediction in Question Answering—0
Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts—0
A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support—0
ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering—0
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs—0
Extractive Question Answering on Queries in Hindi and Tamil—0
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution—0
Extractive NarrativeQA with Heuristic Pre-Training—0
Extractive Headline Generation Based on Learning to Rank for Community Question Answering—0
Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs—0
Extraction of Product Specifications from the Web -- Going Beyond Tables and Lists—0
Extraction of Daily Changing Words for Question Answering—0
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions—0
Character Sequence-to-Sequence Model with Global Attention for Universal Morphological Reinflection—0
A Restricted Visual Turing Test for Deep Scene and Event Understanding—0
Extracting Training Data from Document-Based VQA Models—0
Extracting Time Expressions from Clinical Text—0
Character Matters: Video Story Understanding with Character-Aware Relations—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