Results for “dataset”

MASSW is a comprehensive text dataset on Multi-Aspect Summarization of Scientific Workflows. MASSW includes more than 15

Official Implementation for the Paper [AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent](https://ar

LLM Agent paired with Image Captioning and Yolov8 models plays God of War

A repo lists papers related to LLM based agent

[ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

💻 A curated list of papers and resources for multi-modal Graphical User Interface (GUI) agents.

Awesome papers involving LLMs in Social Science.

[CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural langu

🧙🏻 Code and benchmark for our Findings of ACL 2024 paper - "TimeChara: Evaluating Point-in-Time Character Hallucinatio

Connect RStudio to Claude Code, Codex, Gemini, and other LLM agents via MCP. Multi-agent orchestration, automated manusc

RLAnything (ICML 2026) & AutoTool (ICML 2026), DemyAgent: Open-Source RL for LLMs and Agentic Scenarios

总结Prompt&LLM论文，开源数据&模型，AIGC应用

A curated list of Generative AI tools, works, models, and references

@zilliztech✓ Official

From a sample document to a running Milvus / Zilliz Cloud search app in minutes — an AI-guided scaffold delivered as a A

@microsoft✓ Official

[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?

HealthFlow: Automating electronic health record analysis via a strategically self-evolving multi-agent framework

Official companion repository for our survey "A Survey of the OpenClaw Ecosystem: From Platform Extensibility to Constra

xLAM: A Family of Large Action Models to Empower AI Agent Systems

Official Implementation of Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization

Framework and toolkits for building and evaluating collaborative agents that can work together with humans.

[NeurIPS 2024 D&B] GTA: A Benchmark for General Tool Agents & [arXiv 2026] GTA-2

A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement, ASE 2024 (D

[NeurIPS 2024] Official implementation for "AgentPoison: Red-teaming LLM Agents via Memory or Knowledge Base Backdoor Po

[EMNLP'24] EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records

AMG-RAG (Agentic Medical Graph-RAG) is a comprehensive framework that automates the construction and continuous updating

All-in-one Web Agent framework for post-training. Start building with a few clicks!

[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regressi

Harness LLMs with Multi-Agent Programming

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+

[WWW-2025] ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collabo

A collection of 2025 agentic workflows built in n8n. Showcases manual multi-model orchestration, RAG-to-SQL, and autonom

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

Asynchronous LLM Agent playing games of Mafia against human players

👾 Open source implementation of the ChatGPT Code Interpreter

SkillOrchestra: Learning to Route Agents via Skill Transfer

Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan

Towards Large Multimodal Models as Visual Foundation Agents

A framework that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.

This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, G

Odyssey: Empowering Minecraft Agents with Open-World Skills

AlgoTune is a NeurIPS 2025 benchmark made up of 154 math, physics, and computer science problems. The goal is write code

[CVPR2024 Highlight] Editable Scene Simulation for Autonomous Driving via LLM-Agent Collaboration

✨✨Latest Advances on Neuro-Symbolic Learning in the era of Large Language Models

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

Source code for our paper: "ARIA: Training Language Agents with Intention-Driven Reward Aggregation".