8 papers
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,…
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…
RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization
Qiming Bao, Juho Leinonen, Paul Denny +1
Direct Preference Optimization (DPO), the efficient alternative to PPO-based RLHF, falls short on knowledge-intensive generation: standard preference signals from human annotators…
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…
Words at Play: Benchmarking Audio Pun Understanding in Large Audio-Language Models
Yuchen Su, Shaoxin Zhong, Yonghua Zhu +6
Puns represent a typical linguistic phenomenon that exploits polysemy and phonetic ambiguity to generate humour, posing unique challenges for natural language understanding. Within…
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…