activity
20232025
most citedTowards the Law of Capacity Gap in Distilling Language Models

3 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2025★ 1 cited

AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need

Zhouhong Gu, Xiaoxuan Zhu, Yin Cai +12

Large language model based multi-agent systems have demonstrated significant potential in social simulation and complex task resolution domains. However, current frameworks face cr…

cs.AI2025

PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval

Zihan Niu, Zheyong Xie, Shaosheng Cao +9

Social chatbots have become essential intelligent companions in daily scenarios ranging from emotional support to personal interaction. However, conventional chatbots with passive…

cs.CL2025

MIRAGE: Exploring How Large Language Models Perform in Complex Social Interactive Environments

Yin Cai, Zhouhong Gu, Zhaohan Du +5

Large Language Models (LLMs) have shown remarkable capabilities in environmental perception, reasoning-based decision-making, and simulating complex human behaviors, particularly i…

cs.CL2024

MoDification: Mixture of Depths Made Easy

Chen Zhang, Meizhi Zhong, Qimeng Wang +8

Long-context efficiency has recently become a trending topic in serving large language models (LLMs). And mixture of depths (MoD) is proposed as a perfect fit to bring down both la…

cs.CL2024

DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?

Zhouhong Gu, Lin Zhang, Xiaoxuan Zhu +8

Detecting evidence within the context is a key step in the process of reasoning task. Evaluating and enhancing the capabilities of LLMs in evidence detection will strengthen contex…

cs.AI2024★ 1 cited

AgentGroupChat: An Interactive Group Chat Simulacra For Better Eliciting Emergent Behavior

Zhouhong Gu, Xiaoxuan Zhu, Haoran Guo +10

Language significantly influences the formation and evolution of Human emergent behavior, which is crucial in understanding collective intelligence within human societies. Consider…

cs.CL2023★ 3 cited

Towards the Law of Capacity Gap in Distilling Language Models

Chen Zhang, Qiuchi Li, Dawei Song +3

Language model (LM) distillation aims at distilling the knowledge in a large teacher LM to a small student one. As a critical issue facing LM distillation, a superior student often…