97 citations · 563 across the 101 of their papers we have counts for
103 papers
SkillScaffold: Scaffolding Agentic Reinforcement Learning with Policy-Adaptive Skill Credit Assignment and Selective Injection
Wenlin Zhong, Hao Wang, Kun Yuan +6
Agentic reinforcement learning (RL) enables large language models (LLMs) to learn from multi-turn interactions with verifiable outcomes. Textual skills can improve exploration by d…
SOAR: Source-Aware Reinforcement Learning with Precise Credit Assignment for Search Agents
Shengze Huang, Zihao Tang, Jinluan Yang +11
Reinforcement learning (RL) for search agents often suffers from evidence fabrication, a failure mode where agents bypass external information () and fabricate an incorrec…
Towards Efficient Reasoning: Learning Causal Shortcuts for Diffusion Language Models
Dian Jin, Kairong Han, Baohong Li +5
Diffusion Language Models (DLMs) have attracted significant attention for their strong reasoning ability. However, under a bidirectional attention mechanism, DLMs operate over an e…
Decoupled Causal Discovery
Zhengkang Guan, Fei Wu, Kun Kuang
Causal discovery from observational data is a fundamental yet challenging task in scientific research. While existing approaches are primarily based on conditional independence tes…
ITSY: Causal Discovery From Irregular Time-Series Data
Wenbo Xu, Yue He, Yunhai Wang +2
Structural causal models for time series recover contemporaneous and lagged effects, but most methods require complete observation windows and become misspecified when samples are…
SkillTFM: Gated Skill Evolution for Training-Free Adaptation of Tabular Foundation Models
Yi He, Zhengkang Guan, Anpeng Wu +3
Tabular data are ubiquitous in real-world applications and are crucial for data-driven prediction and decision-making across science, industry, finance, healthcare, and public serv…