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Collections including paper arxiv:2406.08451

a collection of algorithmic agents for user interfaces/interactions and program synthesis

Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Paper • 1802.08802 • Published Feb 24, 2018
Mapping Natural Language Commands to Web Elements

Paper • 1808.09132 • Published Aug 28, 2018
Learning to Navigate the Web

Paper • 1812.09195 • Published Dec 21, 2018
Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations

Paper • 1909.00031 • Published Aug 30, 2019

The GUI Odyssey dataset and OdysseyAgent models which were fine-tuned separately in 4 different splits.

OpenGVLab/GUI-Odyssey

Viewer • Updated Sep 14 • 7.74k • 2.04k • 7
GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices

Paper • 2406.08451 • Published Jun 12 • 23
hflqf88888/OdysseyAgent-task

Text Generation • Updated Jul 2 • 11
hflqf88888/OdysseyAgent-random

Text Generation • Updated Jul 2 • 401

Multi-modality LVM Datasets

MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs

Paper • 2406.11833 • Published Jun 17 • 61
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

Paper • 2406.11230 • Published Jun 17 • 34
Two Giraffes in a Dirt Field: Using Game Play to Investigate Situation Modelling in Large Multimodal Models

Paper • 2406.14035 • Published Jun 20 • 12
Needle In A Multimodal Haystack

Paper • 2406.07230 • Published Jun 11 • 52

Web Test Automation

GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices

Paper • 2406.08451 • Published Jun 12 • 23

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 30
CosmicMan: A Text-to-Image Foundation Model for Humans

Paper • 2404.01294 • Published Apr 1 • 15
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus

Paper • 2406.08707 • Published Jun 13 • 15
DataComp-LM: In search of the next generation of training sets for language models

Paper • 2406.11794 • Published Jun 17 • 48

ZenMoore/RoleBench

Preview • Updated Nov 23, 2023 • 329 • 75
argilla/intel-orca-dpo-pairs-helm-instruct

Viewer • Updated Feb 29 • 5 • 47 • 1
argilla/OpenHermes2.5-dpo-binarized-alpha

Viewer • Updated Feb 10 • 9.79k • 62 • 64
argilla/ultrafeedback-critique

Viewer • Updated Dec 15, 2023 • 253k • 54 • 4

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 38
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

NExT-GPT: Any-to-Any Multimodal LLM

Paper • 2309.05519 • Published Sep 11, 2023 • 78
Large Language Model for Science: A Study on P vs. NP

Paper • 2309.05689 • Published Sep 11, 2023 • 20
AstroLLaMA: Towards Specialized Foundation Models in Astronomy

Paper • 2309.06126 • Published Sep 12, 2023 • 16
Large Language Models for Compiler Optimization

Paper • 2309.07062 • Published Sep 11, 2023 • 22

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