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This is the official code base of AgentNetTool in OpenCUA. Website: https://opencua.xlang.ai/
OpenCUA: Open Foundations for Computer-Use Agents
[ICML2025] Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
Code repo for the paper: Attacking Vision-Language Computer Agents via Pop-ups
This is a collection of resources for computer-use GUI agents, including videos, blogs, papers, and projects.
[ICLR 2025 Oral] Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
[NeurIPS 2024] Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
[ICLR 2025] BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
[ICLR 2024 Spotlight] Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
[ICLR 2024] Lemur: Open Foundation Models for Language Agents
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
Paper collection on building and evaluating language model agents via executable language grounding
[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
[ICML 2023] Data and code release for the paper "DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation".
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"
[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
Author implementation of the paper "Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing"
Repository for "Generating Sentences by Editing Prototypes"
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Simple examples to introduce PyTorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Global-Locally Self-Attentive Dialogue State Tracker