Papers by Yulang Chen
AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems (2026.acl-long)
Copied to clipboard
| Challenge: | Automated expansion methods often result in bloated structures with redundant agents, leading to excessive token consumption. |
| Approach: | They propose a plug-and-play compression framework for graph-structured multi-agent workflows . they estimate the importance score of each agent and remove redundant agents . |
| Outcome: | Experiments show that AgentSlimming reduces average token cost by 78.9% with negligible performance degradation. |