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 4001–4025 of 10817 papers

TitleStatusHype
Continual Learning for Temporal-Sensitive Question Answering—0
TM-PATHVQA:90000+ Textless Multilingual Questions for Medical Visual Question Answering—0
Localizing and Mitigating Errors in Long-form Question AnsweringCode0
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation—0
Better RAG using Relevant Information GainCode0
A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting—0
Reasoning with Large Language Models, a Survey—0
Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness—0
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries—0
Evaluation of RAG Metrics for Question Answering in the Telecom Domain—0
Benchmarking Vision Language Models for Cultural Understanding—0
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs—0
GenSco: Can Question Decomposition based Passage Alignment improve Question Answering?—0
NativQA: Multilingual Culturally-Aligned Natural Query for LLMs—0
sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting—0
TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models—0
Bridging the Gap Between Information Seeking and Product Search Systems: Q&A Recommendation for E-commerce—0
DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection—0
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive LearningCode0
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic SystemsCode0
Extracting Training Data from Document-Based VQA Models—0
Uncertainty Estimation of Large Language Models in Medical Question Answering—0
A Taxonomy for Data Contamination in Large Language Models—0
Segmentation-guided Attention for Visual Question Answering from Remote Sensing Images—0
Examining Long-Context Large Language Models for Environmental Review Document Comprehension—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