3 papers
cs.CV2026
Visual Saliency Steering Distillation for Multimodal Chain-of-Thought Reasoning
Hao Yang, Jin Wang, Xuejie Zhang
Multimodal chain-of-thought (CoT) reasoning integrates visual and textual cues through step-by-step inference. In small models with limited token budgets, modality-interaction fusi…
cs.AI2026
LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models
Tiesunlong Shen, Rui Mao, Jin Wang +4
Aligning Large Language Models (LLMs) with human preferences is critical, yet traditional fine-tuning methods are computationally expensive and inflexible. While test-time alignmen…
cs.CL2024
Learning to Reason via Self-Iterative Process Feedback for Small Language Models
Kaiyuan Chen, Jin Wang, Xuejie Zhang
Small language models (SLMs) are more efficient, cost-effective, and customizable than large language models (LLMs), though they often underperform in specific areas like reasoning…