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cs.AI2026
EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium
Yuqiao Meng, Sakshi Sunil Narvekar, Luoxi Tang +4
Multi-agent debate (MAD) systems increasingly rely on shared memory to support long-horizon reasoning, but this convenience opens a critical vulnerability: a single corrupted entry…
cs.AI2026
Small Agent Group is the Future of Digital Health
Yuqiao Meng, Luoxi Tang, Dazheng Zhang +5
The rapid adoption of large language models (LLMs) in digital health has been driven by a "scaling-first" philosophy, i.e., the assumption that clinical intelligence increases with…
cs.AI2025
On the Eligibility of LLMs for Counterfactual Reasoning: A Decompositional Study
Shuai Yang, Qi Yang, Luoxi Tang +4
Counterfactual reasoning has emerged as a crucial technique for generalizing the reasoning capabilities of large language models (LLMs). By generating and analyzing counterfactual…