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 3501–3525 of 10817 papers

TitleStatusHype
AAAR-1.0: Assessing AI's Potential to Assist Research—0
ProMQA: Question Answering Dataset for Multimodal Procedural Activity UnderstandingCode0
Synthetic Data Generation with Large Language Models for Personalized Community Question AnsweringCode0
Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code ReviewCode0
NeuroSym-BioCAT: Leveraging Neuro-Symbolic Methods for Biomedical Scholarly Document Categorization and Question Answering—0
Efficient Bilinear Attention-based Fusion for Medical Visual Question Answering—0
Resilience in Knowledge Graph Embeddings—0
SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval—0
Few-Shot Multimodal Explanation for Visual Question AnsweringCode0
Large Language Model Benchmarks in Medical Tasks—0
Face-MLLM: A Large Face Perception Model—0
CT2C-QA: Multimodal Question Answering over Chinese Text, Table and Chart—0
AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?Code0
Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models!—0
Rethinking Data Synthesis: A Teacher Model Training Recipe with Interpretation—0
R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest—0
LLM Robustness Against Misinformation in Biomedical Question AnsweringCode0
MedGo: A Chinese Medical Large Language Model—0
Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation—0
GiVE: Guiding Visual Encoder to Perceive Overlooked Information—0
EfficientEQA: An Efficient Approach for Open Vocabulary Embodied Question Answering—0
Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable Sensors—0
A Survey of Large Language Models for Arabic Language and its Dialects—0
FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis—0
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges—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