collaborators
Showing cs.AIShow all

5 papers · 1 filter

cs.AI2026

Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision

Xianda Zheng, Huan Gao, Meng-Fen Chiang +3

Despite recent progress, the reasoning capabilities of large multimodal language models (MLLMs) remain fundamentally constrained by static supervision, where fixed prompts, rules,…

cs.AI2026

Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts

Xianda Zheng, Zijian Huang, Meng-Fen Chiang +4

Explicit knowledge conflicts, occurring when retrieved contexts contain contradictory information, pose a fundamental challenge for Large Language Models (LLMs) as they integrate i…

cs.AI2026

Separating Diagnosis from Control: Auditable Policy Adaptation in Agent-Based Simulations with LLM-Based Diagnostics

Shaoxin Zhong, Yuchen Su, Michael Witbrock

Mitigating elderly loneliness requires policy interventions that achieve both adaptability and auditability. Existing methods struggle to reconcile these objectives: traditional ag…

cs.AI2025

HealthSLM-Bench: Benchmarking Small Language Models for Mobile and Wearable Healthcare Monitoring

Xin Wang, Ting Dang, Xinyu Zhang +3

Mobile and wearable healthcare monitoring play a vital role in facilitating timely interventions, managing chronic health conditions, and ultimately improving individuals' quality…

cs.AI2025

Bridging the Reasoning Gap: Small LLMs Can Plan with Generalised Strategies

Andrey Borro, Patricia J Riddle, Michael W Barley +1

Recent advancements in the reasoning skills of Large Language Models (LLMs) demonstrate an increase in the ability of LLMs to solve simple planning tasks. However, as long as the d…