Quantized Reasoning Models Think They Need to Think Longer, but They Do Not
Fuente:
arXiv
Saved in:
| Main Authors: | Lotfi, Sanae, Kirichenko, Polina, Li, Steven, Liu, Zechun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reasoning Models Don't Just Think Longer, They Move Differently
by: Gjølbye, Anders, et al.
Published: (2026)
by: Gjølbye, Anders, et al.
Published: (2026)
Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning
by: Yang, Wang, et al.
Published: (2025)
by: Yang, Wang, et al.
Published: (2025)
The Relationship Between Reasoning and Performance in Large Language Models -- o3 (mini) Thinks Harder, Not Longer
by: Ballon, Marthe, et al.
Published: (2025)
by: Ballon, Marthe, et al.
Published: (2025)
Thinking Deeper, Not Longer: Depth-Recurrent Transformers for Compositional Generalization
by: Chen, Hung-Hsuan
Published: (2026)
by: Chen, Hung-Hsuan
Published: (2026)
AdaptThink: Reasoning Models Can Learn When to Think
by: Zhang, Jiajie, et al.
Published: (2025)
by: Zhang, Jiajie, et al.
Published: (2025)
What's in Common? Multimodal Models Hallucinate When Reasoning Across Scenes
by: Ross, Candace, et al.
Published: (2025)
by: Ross, Candace, et al.
Published: (2025)
To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models
by: Zhu, Zihao, et al.
Published: (2025)
by: Zhu, Zihao, et al.
Published: (2025)
AdapThink: Adaptive Thinking Preferences for Reasoning Language Model
by: Wan, Xu, et al.
Published: (2025)
by: Wan, Xu, et al.
Published: (2025)
Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner
by: He, Tao, et al.
Published: (2025)
by: He, Tao, et al.
Published: (2025)
Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction
by: Shen, Junhong, et al.
Published: (2025)
by: Shen, Junhong, et al.
Published: (2025)
ThinkEdit: Interpretable Weight Editing to Mitigate Overly Short Thinking in Reasoning Models
by: Sun, Chung-En, et al.
Published: (2025)
by: Sun, Chung-En, et al.
Published: (2025)
Efficient Reasoning with Balanced Thinking
by: Li, Yulin, et al.
Published: (2026)
by: Li, Yulin, et al.
Published: (2026)
Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately
by: Wang, Yuhang, et al.
Published: (2025)
by: Wang, Yuhang, et al.
Published: (2025)
Small Batch Size Training for Language Models: When Vanilla SGD Works, and Why Gradient Accumulation Is Wasteful
by: Marek, Martin, et al.
Published: (2025)
by: Marek, Martin, et al.
Published: (2025)
Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models
by: Hong, Ilgee, et al.
Published: (2025)
by: Hong, Ilgee, et al.
Published: (2025)
Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models
by: Jha, Basab, et al.
Published: (2025)
by: Jha, Basab, et al.
Published: (2025)
Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language Models
by: Sheng, Zhichao, et al.
Published: (2025)
by: Sheng, Zhichao, et al.
Published: (2025)
Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks
by: Liang, Jia, et al.
Published: (2026)
by: Liang, Jia, et al.
Published: (2026)
DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models
by: Shen, Yi, et al.
Published: (2025)
by: Shen, Yi, et al.
Published: (2025)
Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts
by: Lotfi, Sanae, et al.
Published: (2026)
by: Lotfi, Sanae, et al.
Published: (2026)
MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning
by: Xi, Ningyuan, et al.
Published: (2024)
by: Xi, Ningyuan, et al.
Published: (2024)
Do Multilingual LLMs Think In English?
by: Schut, Lisa, et al.
Published: (2025)
by: Schut, Lisa, et al.
Published: (2025)
Efficient Reasoning with Hidden Thinking
by: Shen, Xuan, et al.
Published: (2025)
by: Shen, Xuan, et al.
Published: (2025)
Large Reasoning Models Learn Better Alignment from Flawed Thinking
by: Peng, ShengYun, et al.
Published: (2025)
by: Peng, ShengYun, et al.
Published: (2025)
Think, Prune, Train, Improve: Scaling Reasoning without Scaling Models
by: Costello, Caia, et al.
Published: (2025)
by: Costello, Caia, et al.
Published: (2025)
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
by: Lotfi, Sanae, et al.
Published: (2024)
by: Lotfi, Sanae, et al.
Published: (2024)
K2-Think: A Parameter-Efficient Reasoning System
by: Cheng, Zhoujun, et al.
Published: (2025)
by: Cheng, Zhoujun, et al.
Published: (2025)
Understanding Reasoning in Thinking Language Models via Steering Vectors
by: Venhoff, Constantin, et al.
Published: (2025)
by: Venhoff, Constantin, et al.
Published: (2025)
Base Models Know How to Reason, Thinking Models Learn When
by: Venhoff, Constantin, et al.
Published: (2025)
by: Venhoff, Constantin, et al.
Published: (2025)
CoRT: Code-integrated Reasoning within Thinking
by: Li, Chengpeng, et al.
Published: (2025)
by: Li, Chengpeng, et al.
Published: (2025)
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
by: Yang, Dayu, et al.
Published: (2025)
by: Yang, Dayu, et al.
Published: (2025)
Effectively Controlling Reasoning Models through Thinking Intervention
by: Wu, Tong, et al.
Published: (2025)
by: Wu, Tong, et al.
Published: (2025)
Reasoning Models Don't Always Say What They Think
by: Chen, Yanda, et al.
Published: (2025)
by: Chen, Yanda, et al.
Published: (2025)
Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models
by: An, Sohyun, et al.
Published: (2025)
by: An, Sohyun, et al.
Published: (2025)
OverThink: Slowdown Attacks on Reasoning LLMs
by: Kumar, Abhinav, et al.
Published: (2025)
by: Kumar, Abhinav, et al.
Published: (2025)
Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models
by: Guo, Zhenyuan, et al.
Published: (2026)
by: Guo, Zhenyuan, et al.
Published: (2026)
ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces
by: Xu, Xin, et al.
Published: (2026)
by: Xu, Xin, et al.
Published: (2026)
Thinking as Emergence: How AI Begins to Think in Response, Resistance, and Relationship
by: Molchanova, Olena, et al.
Published: (2025)
by: Molchanova, Olena, et al.
Published: (2025)
PARQ: Piecewise-Affine Regularized Quantization
by: Jin, Lisa, et al.
Published: (2025)
by: Jin, Lisa, et al.
Published: (2025)
AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking in Large Language Models
by: Wang, Xiangqi, et al.
Published: (2025)
by: Wang, Xiangqi, et al.
Published: (2025)
Similar Items
-
Reasoning Models Don't Just Think Longer, They Move Differently
by: Gjølbye, Anders, et al.
Published: (2026) -
Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning
by: Yang, Wang, et al.
Published: (2025) -
The Relationship Between Reasoning and Performance in Large Language Models -- o3 (mini) Thinks Harder, Not Longer
by: Ballon, Marthe, et al.
Published: (2025) -
Thinking Deeper, Not Longer: Depth-Recurrent Transformers for Compositional Generalization
by: Chen, Hung-Hsuan
Published: (2026) -
AdaptThink: Reasoning Models Can Learn When to Think
by: Zhang, Jiajie, et al.
Published: (2025)