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20232026
most citedAutoPal: Autonomous Adaptation to Users for Personal AI Companionship

3 citations · 6 across the 32 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

What Makes Effective Supervision in Latent Chain-of-Thought: An Information-Theoretic Analysis

Xinghao Chen, Chak Tou Leong, Wenjin Guo +3

Latent Chain-of-Thought (CoT) internalizes reasoning within continuous hidden states, offering a promising alternative to verbose discrete reasoning traces. However, robust latent…

cs.LG2026

On the Geometry of On-Policy Distillation

Zhennan Shen, Yanshu Li, Qingyu Yin +6

On-policy distillation (OPD) is increasingly used to improve large language model reasoning, but its training dynamics remain poorly understood. We characterize the trajectory of O…

cs.CL2026

Probing Cultural Awareness in LLMs: A Case Study of Cross-Culture Aesthetic Stylistics

Jiashuo Wang, Fenggang Yu, Jian Wang +6

Large Language Models (LLMs) are increasingly deployed in diverse cultural contexts, yet their ability to master aesthetic stylistics, i.e., the strategic use of language to evoke…

cs.CL2026

Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents

Hanlin Wang, Chak Tou Leong, Jian Wang +1

Recent advancements in large language models (LLMs) have enabled agents to tackle complex embodied tasks through environmental interaction. However, these agents still make subopti…

cs.AI2026

Finding RELIEF: Shaping Reasoning Behavior without Reasoning Supervision via Belief Engineering

Chak Tou Leong, Dingwei Chen, Heming Xia +4

Large reasoning models (LRMs) have achieved remarkable success in complex problem-solving, yet they often suffer from computational redundancy or reasoning unfaithfulness. Current…