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All SourcesarXiv
#reasoning models

Reasoning Models Struggle to Control their Chains of Thought

Beginner
Chen Yueh-Han, Robert McCarthy et al.Mar 5arXiv

The paper studies whether AI models can hide or reshape their step-by-step thoughts (chains of thought) on command.

#chain-of-thought#controllability#monitorability

Not triaged yet

Does Your Reasoning Model Implicitly Know When to Stop Thinking?

Intermediate
Zixuan Huang, Xin Xia et al.Feb 9arXiv

Big AI reasoning models often keep thinking long after they already found the right answer, wasting time and tokens.

#SAGE#efficient reasoning#chain of thought

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THINKSAFE: Self-Generated Safety Alignment for Reasoning Models

Intermediate
Seanie Lee, Sangwoo Park et al.Jan 30arXiv

Large reasoning models got very good at thinking step-by-step, but that sometimes made them too eager to follow harmful instructions.

#THINKSAFE#self-generated safety alignment#refusal steering

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Distribution-Aligned Sequence Distillation for Superior Long-CoT Reasoning

Intermediate
Shaotian Yan, Kaiyuan Liu et al.Jan 14arXiv

The paper introduces DASD-4B-Thinking, a small (4B) open-source reasoning model that scores like much larger models on hard math, science, and coding tests.

#sequence-level distillation#divergence-aware sampling#temperature-scheduled learning

Not triaged yet