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Shaowen Chen

2 accepted papers

2026

Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems

ICLR 2026poster

While Multi-Agent Systems (MAS) excel at complex tasks, their growing autonomy with operational complexity often leads to critical inefficiencies, such as excessive token consumption and failures arising from misinformation. Existing methods primarily focus on post-hoc failure attribution, lacking p…

Cited by 0SourcecodeScholar
2026

The Sword, Shield, and Achilles’ Heel: Characterizing the Linguistic Inductive Bias of Large Language Models for Spatial Reasoning in Navigation Planning

IJCAI 2026

Large Language Model (LLM)-based navigation systems have commonly constructed expli cit spatial representations (e.g., topological graphs, semantic raster maps) and translated them into textual descriptions as LLMs’ inputs. However, the linguistic structures of such text-based spatial representation

Cited by 0Scholar