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Collections including paper arxiv:2409.08264

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

Papers related to web agents, screen agents, autonomous agents that can mimic human users in computer and/or web use

ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 38
WebArena: A Realistic Web Environment for Building Autonomous Agents

Paper • 2307.13854 • Published Jul 25, 2023 • 23
Mind2Web: Towards a Generalist Agent for the Web

Paper • 2306.06070 • Published Jun 9, 2023 • 19
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Paper • 2410.13232 • Published 24 days ago • 40

Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale

Paper • 2409.08264 • Published Sep 12 • 43
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions

Paper • 2409.15278 • Published Sep 23 • 22
Agent S: An Open Agentic Framework that Uses Computers Like a Human

Paper • 2410.08164 • Published about 1 month ago • 24

Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection

Paper • 2409.08513 • Published Sep 13 • 10
Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale

Paper • 2409.08264 • Published Sep 12 • 43
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Paper • 2409.12191 • Published Sep 18 • 73
LLMs + Persona-Plug = Personalized LLMs

Paper • 2409.11901 • Published Sep 18 • 30

Automated Design of Agentic Systems

Paper • 2408.08435 • Published Aug 15 • 38
Self-Refine: Iterative Refinement with Self-Feedback

Paper • 2303.17651 • Published Mar 30, 2023 • 2
Automating Thought of Search: A Journey Towards Soundness and Completeness

Paper • 2408.11326 • Published Aug 21 • 1
Building Math Agents with Multi-Turn Iterative Preference Learning

Paper • 2409.02392 • Published Sep 4 • 14

Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92
CogVLM2: Visual Language Models for Image and Video Understanding

Paper • 2408.16500 • Published Aug 29 • 56
Learning to Move Like Professional Counter-Strike Players

Paper • 2408.13934 • Published Aug 25 • 21
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 116

Embodiment enables interaction of model with environment. Key is to anticipate what change could've come with its current action.

Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation

Paper • 2408.11812 • Published Aug 21 • 4
WebArena: A Realistic Web Environment for Building Autonomous Agents

Paper • 2307.13854 • Published Jul 25, 2023 • 23
Agent Workflow Memory

Paper • 2409.07429 • Published Sep 11 • 27
Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale

Paper • 2409.08264 • Published Sep 12 • 43

Agentic-ly agentic

Automated Design of Agentic Systems

Paper • 2408.08435 • Published Aug 15 • 38
On the limits of agency in agent-based models

Paper • 2409.10568 • Published Sep 14 • 12
On the Diagram of Thought

Paper • 2409.10038 • Published Sep 16 • 11
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?

Paper • 2409.07703 • Published Sep 12 • 66

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22 • 32
Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 44
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2 • 35
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4 • 60

30\ Interesting.what is this ? how it works?

Running on CPU Upgrade

279

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AiTube
sshh12/Mistral-7B-LoRA-AudioCLAP

Updated Dec 13, 2023 • 5 • 5
microsoft/phi-1_5

Text Generation • Updated Apr 29 • 136k • 1.31k
stabilityai/stablecode-instruct-alpha-3b

Text Generation • Updated Aug 8, 2023 • 61 • 305

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