10 papers
Scaffold-Mediated Post-Training: Co-Evolving Model Parameters and Procedural Scaffold Graphs
Fei Ding, Yongkang Zhang, Runhao Liu +3
Post-training of large language models optimizes only parameters, while inference-time procedural scaffolds are typically designed independently of parameter training. This disconn…
ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning
Fei Ding, Yongkang Zhang, Runhao Liu +2
Long chain-of-thought reasoning improves performance on complex problems, but it also introduces redundancy accumulation, context overflow, and error anchoring. We argue that under…
Internalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for Reasoning
Fei Ding, Yongkang Zhang, Runhao Liu +4
The central challenge of reinforcement learning for reasoning lies not only in the sparsity of outcome-level supervision, but more fundamentally in how to transform feedback provid…
Rethinking the Comparison Unit in Sequence-Level Reinforcement Learning: An Equal-Length Paired Training Framework from Loss Correction to Sample Construction
Fei Ding, Yongkang Zhang, Runhao Liu +5
This paper investigates the length problem in sequence-level relative reinforcement learning. We observe that, although existing methods partially alleviate length-related phenomen…
State commitment learning: training language models to distinguish computation from memory
Fei Ding, Yongkang Zhang, Runhao Liu +3
Reasoning language models do not distinguish tokens used for computation from tokens that constitute persistent state: once generated, all hidden thoughts remain in context and inf…
Robust Crop Planning under Uncertainty: Aligning Economic Optimality with Agronomic Sustainability
Runhao Liu, You Li, Zhengyang Cheng +1
Long-horizon agricultural planning requires optimizing crop allocation under complex spatial heterogeneity, temporal agronomic dependencies, and multi-source environmental uncertai…
Sound Constructive Refinement from Production Envelopes to Executable Manufacturing Schedules
Runhao Liu, Zhengyang Cheng, Gang Huang +8
Production planning and execution systems can interpret capacity, compatibility, material, and timing commitments differently. We treat this semantic boundary as a constructive ref…
Skin Lesion Classification Based on ResNet-50 Enhanced With Adaptive Spatial Feature Fusion
Runhao Liu, Fengyi Zha, Fei Ding +2
Skin cancer classification is challenging due to high inter-class similarity, intra-class variability, and artifacts in dermoscopic images. To address these issues, we propose an i…
Exploring the Challenge and Value of Deep Learning in Automated Skin Disease Diagnosis
Runhao Liu, Ziming Chen, Guangzhen Yao +1
Skin cancer is one of the most prevalent and deadly forms of cancer worldwide, highlighting the critical importance of early detection and diagnosis in improving patient outcomes.…
Probabilistic Method for Optimizing Submarine Search and Rescue Strategy Under Environmental Uncertainty
Runhao Liu, Ziming Chen, Peng Zhang
When coping with the urgent challenge of locating and rescuing a deep-sea submersible in the event of communication or power failure, environmental uncertainty in the ocean can not…