Xianghe Pang

According to our database1, Xianghe Pang authored at least 19 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Towards Self-Evolving Agentic Literature Retrieval.
CoRR, May, 2026

EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale.
CoRR, April, 2026

PRL-Bench: A Comprehensive Benchmark Evaluating LLMs' Capabilities in Frontier Physics Research.
CoRR, April, 2026

MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
PhysMaster: Building an Autonomous AI Physicist for Theoretical and Computational Physics Research.
CoRR, December, 2025

InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents.
CoRR, October, 2025

BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair.
CoRR, August, 2025

X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs.
CoRR, May, 2025

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems.
CoRR, May, 2025

SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development.
CoRR, May, 2025

VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization.
CoRR, April, 2025

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents.
CoRR, 2024

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review.
CoRR, 2024

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation.
CoRR, 2024

Pragmatic Communication in Multi-Agent Collaborative Perception.
CoRR, 2024

MADE: Malicious Agent Detection for Robust Multi-Agent Collaborative Perception.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Malicious Agent Detection for Robust Multi-Agent Collaborative Perception.
CoRR, 2023


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