Reason in Style: Discovering and Controlling Style in Language Models

arXiv:2610.00724 · cs.CL, cs.LG · Submitted 2026-09-30 · Read on arXiv

cs.CL, cs.LG

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/ioanam25/reason-in-style

Terminology

• Trace — 112× in this paper · explained in 2 episodes
• Accuracy — 16× in this paper · explained in 1 episode
• Fine-Tuning — 15× in this paper · explained in 5 episodes
• Clustering — 9× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Verification — 7× in this paper · explained in 2 episodes
• Cosine Similarity — 6× in this paper · explained in 3 episodes
• Reasoning Traces — 6× in this paper · explained in 3 episodes
• Regularization — 6× in this paper · explained in 3 episodes
• Fidelity — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Linear probe — 3× in this paper · explained in 2 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• AI Foundation Model — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Linear Probing — 1× in this paper · explained in 2 episodes
• LoRA Adaptation — 1× in this paper · explained in 2 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Phi-4-reasoning Technical Report
• Your thoughts tell who you are: Characterize the reasoning patterns of LRMs
• Training Verifiers to Solve Math Word Problems
• The Llama 3 Herd of Models
• Olmo 3
• Gemma 4 Technical Report
• When the Strongest Teacher Is Not the Best Teacher: Student-Centric Answer Selection
• How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data
• Supervised Contrastive Block Disentanglement
• Orca: Progressive Learning from Complex Explanation Traces of GPT-4
• gpt-oss-120b & gpt-oss-20b Model Card
• Qwen3 Technical Report
• Qwen3.5-Omni Technical Report
• Representation Learning with Contrastive Predictive Coding
• Qwen2.5 Technical Report

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