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 3451–3475 of 10817 papers

TitleStatusHype
A Brief History of Named Entity Recognition—0
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning—0
SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering—0
M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding—0
Survey on Semantic Interpretation of Tabular Data: Challenges and Directions—0
Seeing is Deceiving: Exploitation of Visual Pathways in Multi-Modal Language Models—0
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA—0
Lexicalization Is All You Need: Examining the Impact of Lexical Knowledge in a Compositional QALD SystemCode0
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models—0
Select2Plan: Training-Free ICL-Based Planning through VQA and Memory Retrieval—0
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?Code0
Multimodal Commonsense Knowledge Distillation for Visual Question Answering—0
MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning—0
Leveraging Large Language Models in Code Question Answering: Baselines and IssuesCode0
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing—0
PersianRAG: A Retrieval-Augmented Generation System for Persian Language—0
VERITAS: A Unified Approach to Reliability Evaluation—0
Can Language Models Enable In-Context Database?—0
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering—0
AVSS: Layer Importance Evaluation in Large Language Models via Activation Variance-Sparsity Analysis—0
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI—0
A Multi-Task Role-Playing Agent Capable of Imitating Character Linguistic Styles—0
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees—0
RS-MoE: Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering—0
Goal-Oriented Semantic Communication for Wireless Visual Question Answering—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