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 4376–4400 of 10817 papers

TitleStatusHype
Automated Construction of Theme-specific Knowledge Graphs—0
QANA: LLM-based Question Generation and Network Analysis for Zero-shot Key Point Analysis and Beyond—0
MediFact at MEDIQA-M3G 2024: Medical Question Answering in Dermatology with Multimodal LearningCode0
Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models—0
Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities—0
Transfer Learning Enhanced Single-choice Decision for Multi-choice Question Answering—0
MediFact at MEDIQA-CORR 2024: Why AI Needs a Human TouchCode0
TIGQA:An Expert Annotated Question Answering Dataset in Tigrinya—0
Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering—0
From Multiple-Choice to Extractive QA: A Case Study for English and ArabicCode0
2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusion—0
Asking and Answering Questions to Extract Event-Argument StructuresCode0
Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Pre-trained Models—0
Türkçe Dil Modellerinin Performans Karşılaştırması Performance Comparison of Turkish Language Models—0
KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering—0
A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry—0
BERT vs GPT for financial engineering—0
Knowledge Graph Completion using Structural and Textual EmbeddingsCode0
Porting Large Language Models to Mobile Devices for Question Answering—0
Assessing The Potential Of Mid-Sized Language Models For Clinical QA—0
Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering—0
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches—0
Pegasus-v1 Technical Report—0
Evaluating Tool-Augmented Agents in Remote Sensing Platforms—0
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs—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