Data generation
Source-reviewed research and assets tagged with Data generation.
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Activity Recorder
Windows tray utility that records primary-display screenshots, keyboard key codes and mouse events as local JPEG and JSON files for training-data collection.
Agent-R
Trajectory collection and revision utilities that use tree search and model-guided critique to train agents to recover from mistakes, including WebShop tasks.
AgentSynth task-generation pipeline
Generates synthetic computer-use tasks and records trajectories in OSWorld desktop environments and InSTA browser environments.
AutoDroid V2
An Android automation implementation that builds app documentation from exploration traces and evaluates language-model-generated execution code in emulator workflows.
DroidCall generation and evaluation code
Data-generation, fine-tuning and evaluation utilities for teaching small language models to invoke Android intents through predefined functions.
Go-Browse
Structured website-exploration and data-processing code that revisits discovered pages, proposes tasks and collects trajectories for web-agent fine-tuning.
GroundGUI training and evaluation code
Code for screenshot grounding through supervised training, teacher-guided distillation, reinforcement learning, and benchmark evaluation.
GUI-CIDER research code
Released data-synthesis and evaluation scripts that distill planning and causal GUI knowledge into text for mid-training mobile interface agents.
GUI-ReWalk
A desktop trajectory-generation framework that moves from stochastic GUI exploration to inferred goals and multi-stage task completion, with retrospective reasoning annotations.
MobileForge
Android GUI-agent adaptation framework combining app exploration, generated curricula and rollout feedback with hint-conditioned step-level GRPO; the documented public training path targets Qwen3-VL-8B.
NNetNav
Collects and labels browser-exploration trajectories for agent training, with code for data processing, fine-tuning, and web evaluation.
PC-Agent-E training and deployment
Tools for refining and augmenting human computer-use trajectories, preparing supervised training data, and deploying a native PC-Agent-E scaffold.
Plan-and-Act
A web-agent framework that separates high-level planning from action execution, with replanning and synthetic planner-data generation components.
Proposer-Agent-Evaluator (PAE)
A browser-agent training system that proposes tasks, collects visual interaction trajectories, and uses automated evaluation to drive policy improvement.
SCALE-CUA (THUDM)
Computer-use training framework with VeriGen task synthesis, adaptive rollout sampling, and visual-context segmentation.
SkillWeaver
A web-agent framework that explores sites, synthesizes reusable interaction APIs and builds a skill library for later tasks.
STEVE / STEVE-R1 research code
Research code and linked models for step-verified computer-use training; the current repository describes STEVE-R1 and its trajectory releases.
TongUI training and inference framework
Training configurations, preprocessing and inference examples for tutorial-trained GUI models, with a LLaMA-Factory fine-tuning workflow and screenshot-grounding interfaces.
TreeCUA
Framework for generating GUI trajectories through tree-structured exploration and verification.
UI Defect Mocker
Synthesizes visual UI defects from mobile screenshots and Android layout metadata to support GUI-testing experiments.
UI-Genie
Training and evaluation code for a mobile-agent framework that iteratively generates trajectories using agent and reward-model feedback.
WebEvolver code component
Component for web-agent trajectory collection, supervised-data preparation and world-model-based trajectory synthesis.
WebRL
Training pipeline that evolves web tasks from prior attempts and uses an outcome reward model to refine browser policies.
Work2Skill
Collects human GUI demonstrations and inspects multimodal evidence to derive reusable agent workflow skills.
ZeroGUI
Online RL framework for GUI agents in which VLMs generate the training tasks and judge success from trajectory screenshots, with OSWorld and AndroidLab checkpoints trained from UI-TARS-7B-DPO.
Showing 361–387 of 387 resources.
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