most citedLLM Multi-Agent Systems: Challenges and Open Problems

30 citations · 33 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2025

Toward Super Agent System with Hybrid AI Routers

Yuhang Yao, Haixin Wang, Yibo Chen +5

AI Agents powered by Large Language Models are transforming the world through enormous applications. A super agent has the potential to fulfill diverse user needs, such as summariz…

cs.AI2025★ 1 cited

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences

Shanshan Han, Salman Avestimehr, Chaoyang He

We present Wildflare GuardRail, a guardrail pipeline designed to enhance the safety and reliability of Large Language Model (LLM) inferences by systematically addressing risks acro…

cs.AI2024★ 1 cited

Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs

Yide Ran, Zhaozhuo Xu, Yuhang Yao +9

The rapid advancement of Large Language Models (LLMs) has led to their increased integration into mobile devices for personalized assistance, which enables LLMs to call external AP…

cs.CL2024

Fox-1: Open Small Language Model for Cloud and Edge

Zijian Hu, Jipeng Zhang, Rui Pan +9

We present Fox-1, a series of small language models (SLMs) consisting of Fox-1-1.6B and Fox-1-1.6B-Instruct-v0.1. These models are pre-trained on 3 trillion tokens of web-scraped d…

cs.DC2024★ 1 cited

ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency

Yuhang Yao, Han Jin, Alay Dilipbhai Shah +7

Large language models (LLMs) have surged in popularity and are extensively used in commercial applications, where the efficiency of model serving is crucial for the user experience…

cs.AI2024

TensorOpera Router: A Multi-Model Router for Efficient LLM Inference

Dimitris Stripelis, Zijian Hu, Jipeng Zhang +6

With the rapid growth of Large Language Models (LLMs) across various domains, numerous new LLMs have emerged, each possessing domain-specific expertise. This proliferation has high…

cs.AI2024

TorchOpera: A Compound AI System for LLM Safety

Shanshan Han, Zijian Hu, Alay Dilipbhai Shah +5

We introduce TorchOpera, a compound AI system for enhancing the safety and quality of prompts and responses for Large Language Models. TorchOpera ensures that all user prompts are…

cs.MA2024★ 30 cited

LLM Multi-Agent Systems: Challenges and Open Problems

Shanshan Han, Qifan Zhang, Weizhao Jin +1

This paper explores multi-agent systems and identify challenges that remain inadequately addressed. By leveraging the diverse capabilities and roles of individual agents, multi-age…