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 4351–4400 of 10817 papers

TitleStatusHype
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation—0
Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents—0
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization—0
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models—0
Semi-Parametric Retrieval via Binary Bag-of-Tokens IndexCode0
SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India—0
Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-TurboCode0
Comparative Analysis of Retrieval Systems in the Real World—0
UQA: Corpus for Urdu Question AnsweringCode0
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty ExpressionCode0
Fine-Tuning and Retrieval Augmented Generation for Question Answering Using Affordable Large Language ModelsCode0
Enhanced Textual Feature Extraction for Visual Question Answering: A Simple Convolutional Approach—0
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis—0
NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance—0
CREPE: Coordinate-Aware End-to-End Document Parser—0
CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education—0
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering—0
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction—0
When to Retrieve: Teaching LLMs to Utilize Information Retrieval EffectivelyCode0
Multi-hop Question Answering over Knowledge Graphs using Large Language Models—0
Suvach -- Generated Hindi QA benchmark—0
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language ModelsCode0
FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question AnsweringCode0
Capabilities of Gemini Models in Medicine—0
Multi-Page Document Visual Question Answering using Self-Attention Scoring MechanismCode0
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