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cs.CL2026
-Prediction Flow: Efficient Continuous Decoding for Masked Diffusion Language Models
Weitian Wang, Lianlei Shan, Shubham Rai +2
Masked diffusion language models (MDLMs) generate text by iteratively unmasking tokens, but their standard decoder reduces each step to a binary action: a position is either commit…
cs.CL2025
Thinking on the Fly: Test-Time Reasoning Enhancement via Latent Thought Policy Optimization
Wengao Ye, Yan Liang, Lianlei Shan
Recent advancements in Large Language Models (LLMs) have shifted from explicit Chain-of-Thought (CoT) reasoning to more efficient latent reasoning, where intermediate thoughts are…
cs.CL2025
Cognitive Memory in Large Language Models
Lianlei Shan, Shixian Luo, Zezhou Zhu +2
This paper examines memory mechanisms in Large Language Models (LLMs), emphasizing their importance for context-rich responses, reduced hallucinations, and improved efficiency. It…