2 papers
cs.CL2026
CIRF: Tokenizing Chain-of-Thoughts into Reusable Functional Units for Efficient Latent Reasoning in Large Language Models
Yukyung Lee, Yumeng Shen, Jinhyeong Park +2
Implicit Chain-of-Thought (CoT) reduces the inference cost of large language models by internalizing the explicit rationales. However, existing approaches typically lack alignment…
cs.AI2026
Recall Isn't Enough: Bounding Commitments in Personalized Language Systems
Rui Tang, Yichi Zhang, Xi Chen +4
Long-context and memory systems usually treat personalization as a recall problem. In practice, many failures occur later, when a system commits: it turns noisy hints into hard con…