3 citations · 3 across the 2 of their papers we have counts for
4 papers
SIPO: Unifying Reinforcement Learning with On-Policy Self-Distillation
Zhenrui Yue, Huimin Zeng, Yueqi Wang +8
Reinforcement learning with verifiable rewards (RLVR) has become a standard paradigm for improving large language models (LLMs) on various tasks, yet its sparse outcome rewards lac…
Are Gains Quiet and Losses Loud? Emotional Responses to Financial Booms and Crashes Online
Aryan Ramchandra Kapadia, Niharika Bhattacharjee, Mung Yao Jia +3
Financial events negatively affect emotional well-being, but large-scale studies examining their impact on online emotional expression using real-time social media data remain limi…
AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling
Zhining Zhang, Chuanyang Jin, Mung Yao Jia +2
Theory of Mind (ToM), the ability to understand people's minds based on their behavior, is key to developing socially intelligent agents. Current approaches to ToM reasoning either…
MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis
Nimeesha Chan, Felix Parker, William Bennett +4
The complexity and heterogeneity of data in many real-world applications pose significant challenges for traditional machine learning and signal processing techniques. For instance…