2 papers
cs.LG2026
Learning Nonlinear Systems In-Context: From Synthetic Data to Real-World Motor Control
Tong Jian, Tianyu Dai, Tao Yu
LLMs have shown strong in-context learning (ICL) abilities, but have not yet been extended to signal processing systems. Inspired by their design, we have proposed for the first ti…
cs.CL2025
IFDECORATOR: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards
Xu Guo, Tianyi Liang, Tong Jian +6
Reinforcement Learning with Verifiable Rewards (RLVR) improves instruction following capabilities of large language models (LLMs), but suffers from training inefficiency due to ina…