Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
Fuente:
arXiv
Saved in:
| Main Authors: | Tang, Shuo, Pang, Xianghe, Liu, Zexi, Tang, Bohan, Ye, Rui, Jin, Tian, Dong, Xiaowen, Wang, Yanfeng, Chen, Siheng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
by: Pang, Xianghe, et al.
Published: (2024)
by: Pang, Xianghe, et al.
Published: (2024)
MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
by: Ye, Rui, et al.
Published: (2025)
by: Ye, Rui, et al.
Published: (2025)
X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs
by: Ye, Rui, et al.
Published: (2025)
by: Ye, Rui, et al.
Published: (2025)
Hypergraph Transformer for Semi-Supervised Classification
by: Liu, Zexi, et al.
Published: (2023)
by: Liu, Zexi, et al.
Published: (2023)
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
by: Tang, Shuo, et al.
Published: (2024)
by: Tang, Shuo, et al.
Published: (2024)
Training-Free Message Passing for Learning on Hypergraphs
by: Tang, Bohan, et al.
Published: (2024)
by: Tang, Bohan, et al.
Published: (2024)
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data
by: Du, Yuwen, et al.
Published: (2026)
by: Du, Yuwen, et al.
Published: (2026)
ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering
by: Liu, Zexi, et al.
Published: (2025)
by: Liu, Zexi, et al.
Published: (2025)
GNNs as Predictors of Agentic Workflow Performances
by: Zhang, Yuanshuo, et al.
Published: (2025)
by: Zhang, Yuanshuo, et al.
Published: (2025)
BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair
by: Pang, Xianghe, et al.
Published: (2025)
by: Pang, Xianghe, et al.
Published: (2025)
Learning Hypergraphs From Signals With Dual Smoothness Prior
by: Tang, Bohan, et al.
Published: (2022)
by: Tang, Bohan, et al.
Published: (2022)
Hypergraph-MLP: Learning on Hypergraphs without Message Passing
by: Tang, Bohan, et al.
Published: (2023)
by: Tang, Bohan, et al.
Published: (2023)
Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review
by: Ye, Rui, et al.
Published: (2024)
by: Ye, Rui, et al.
Published: (2024)
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
by: Ye, Rui, et al.
Published: (2024)
by: Ye, Rui, et al.
Published: (2024)
Malicious Agent Detection for Robust Multi-Agent Collaborative Perception
by: Zhao, Yangheng, et al.
Published: (2023)
by: Zhao, Yangheng, et al.
Published: (2023)
MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
by: Ye, Rui, et al.
Published: (2025)
by: Ye, Rui, et al.
Published: (2025)
InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents
by: Du, Yaxin, et al.
Published: (2025)
by: Du, Yaxin, et al.
Published: (2025)
OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories
by: Du, Yuwen, et al.
Published: (2026)
by: Du, Yuwen, et al.
Published: (2026)
Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models
by: Ye, Rui, et al.
Published: (2024)
by: Ye, Rui, et al.
Published: (2024)
VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization
by: Chen, Menglan, et al.
Published: (2025)
by: Chen, Menglan, et al.
Published: (2025)
SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam?
by: Chai, Jingyi, et al.
Published: (2025)
by: Chai, Jingyi, et al.
Published: (2025)
SQLForge: Synthesizing Reliable and Diverse Data to Enhance Text-to-SQL Reasoning in LLMs
by: Guo, Yu, et al.
Published: (2025)
by: Guo, Yu, et al.
Published: (2025)
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis
by: Zhang, Bohan, et al.
Published: (2025)
by: Zhang, Bohan, et al.
Published: (2025)
SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development
by: Du, Yaxin, et al.
Published: (2025)
by: Du, Yaxin, et al.
Published: (2025)
Incentivizing Inclusive Contributions in Model Sharing Markets
by: Zhang, Enpei, et al.
Published: (2025)
by: Zhang, Enpei, et al.
Published: (2025)
Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
by: Wang, Ziyi, et al.
Published: (2026)
by: Wang, Ziyi, et al.
Published: (2026)
MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation
by: Wang, Wenhao, et al.
Published: (2026)
by: Wang, Wenhao, et al.
Published: (2026)
A Markov Random Field model for Hypergraph-based Machine Learning
by: Tang, Bohan, et al.
Published: (2023)
by: Tang, Bohan, et al.
Published: (2023)
MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users
by: Wang, Wenhao, et al.
Published: (2025)
by: Wang, Wenhao, et al.
Published: (2025)
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
by: Ye, Rui, et al.
Published: (2024)
by: Ye, Rui, et al.
Published: (2024)
On the Importance of Task Complexity in Evaluating LLM-Based Multi-Agent Systems
by: Tang, Bohan, et al.
Published: (2025)
by: Tang, Bohan, et al.
Published: (2025)
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes
by: Jiang, Keyue, et al.
Published: (2025)
by: Jiang, Keyue, et al.
Published: (2025)
Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
by: Luo, Haipeng, et al.
Published: (2024)
by: Luo, Haipeng, et al.
Published: (2024)
Close the Loop: Synthesizing Infinite Tool-Use Data via Multi-Agent Role-Playing
by: Li, Yuwen, et al.
Published: (2025)
by: Li, Yuwen, et al.
Published: (2025)
TeachLM: Post-Training LLMs for Education Using Authentic Learning Data
by: Perczel, Janos, et al.
Published: (2025)
by: Perczel, Janos, et al.
Published: (2025)
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
by: Tang, Bohan, et al.
Published: (2022)
by: Tang, Bohan, et al.
Published: (2022)
Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQA
by: Li, Zhuowan, et al.
Published: (2024)
by: Li, Zhuowan, et al.
Published: (2024)
From Self-Evolving Synthetic Data to Verifiable-Reward RL: Post-Training Multi-turn Interactive Tool-Using Agents
by: Gao, Jiaxuan, et al.
Published: (2026)
by: Gao, Jiaxuan, et al.
Published: (2026)
Enhancing Long Chain-of-Thought Reasoning through Multi-Path Plan Aggregation
by: Xiong, Siheng, et al.
Published: (2025)
by: Xiong, Siheng, et al.
Published: (2025)
PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs
by: Gungordu, Oguzhan, et al.
Published: (2026)
by: Gungordu, Oguzhan, et al.
Published: (2026)
Similar Items
-
Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
by: Pang, Xianghe, et al.
Published: (2024) -
MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
by: Ye, Rui, et al.
Published: (2025) -
X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs
by: Ye, Rui, et al.
Published: (2025) -
Hypergraph Transformer for Semi-Supervised Classification
by: Liu, Zexi, et al.
Published: (2023) -
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
by: Tang, Shuo, et al.
Published: (2024)