Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Jha, Basab, Paudel, Firoj, Puri, Ujjwal, Yuting, Zhang, Donghyuk, Choi, Junhao, Wang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SAGE-32B: Agentic Reasoning via Iterative Distillation
by: Jha, Basab, et al.
Published: (2026)
by: Jha, Basab, et al.
Published: (2026)
SAGE Celer 2.6 Technical Card
by: SAGEA Research Team, et al.
Published: (2026)
by: SAGEA Research Team, et al.
Published: (2026)
The Rosetta Paradox: Domain-Specific Performance Inversions in Large Language Models
by: Jha, Basab, et al.
Published: (2024)
by: Jha, Basab, et al.
Published: (2024)
Fragile Mastery: Are Domain-Specific Trade-Offs Undermining On-Device Language Models?
by: Jha, Basab, et al.
Published: (2025)
by: Jha, Basab, et al.
Published: (2025)
Thinking About Thinking: Evaluating Reasoning in Post-Trained Language Models
by: Singla, Pratham, et al.
Published: (2025)
by: Singla, Pratham, 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)
AdaptThink: Reasoning Models Can Learn When to Think
by: Zhang, Jiajie, et al.
Published: (2025)
by: Zhang, Jiajie, 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)
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)
Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
by: Zhong, Han, et al.
Published: (2025)
by: Zhong, Han, et al.
Published: (2025)
Efficient Reasoning with Hidden Thinking
by: Shen, Xuan, et al.
Published: (2025)
by: Shen, Xuan, et al.
Published: (2025)
Efficient Reasoning with Balanced Thinking
by: Li, Yulin, et al.
Published: (2026)
by: Li, Yulin, et al.
Published: (2026)
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)
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)
Think Clearly: Improving Reasoning via Redundant Token Pruning
by: Choi, Daewon, et al.
Published: (2025)
by: Choi, Daewon, et al.
Published: (2025)
Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Extreme Reasoning Efficiency in Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)
by: Chen, Qiguang, et al.
Published: (2025)
Reverse Thinking Makes LLMs Stronger Reasoners
by: Chen, Justin Chih-Yao, et al.
Published: (2024)
by: Chen, Justin Chih-Yao, et al.
Published: (2024)
Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
by: Damani, Mehul, et al.
Published: (2025)
by: Damani, Mehul, et al.
Published: (2025)
Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think?
by: Wang, Shouren, et al.
Published: (2025)
by: Wang, Shouren, et al.
Published: (2025)
Reasoning with Sampling: Your Base Model is Smarter Than You Think
by: Karan, Aayush, et al.
Published: (2025)
by: Karan, Aayush, 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)
CoRT: Code-integrated Reasoning within Thinking
by: Li, Chengpeng, et al.
Published: (2025)
by: Li, Chengpeng, et al.
Published: (2025)
Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, et al.
Published: (2025)
Process Reward Models That Think
by: Khalifa, Muhammad, et al.
Published: (2025)
by: Khalifa, Muhammad, et al.
Published: (2025)
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
by: McLeish, Sean, et al.
Published: (2025)
by: McLeish, Sean, et al.
Published: (2025)
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
by: Fan, Chenrui, et al.
Published: (2025)
by: Fan, Chenrui, et al.
Published: (2025)
More Thinking, More Bias: Length-Driven Position Bias in Reasoning Models
by: Wang, Xiao
Published: (2026)
by: Wang, Xiao
Published: (2026)
Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents
by: Yu, Xiao, et al.
Published: (2025)
by: Yu, Xiao, et al.
Published: (2025)
SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning
by: He, Zelin, et al.
Published: (2026)
by: He, Zelin, et al.
Published: (2026)
From Thinking to Output: Chain-of-Thought and Text Generation Characteristics in Reasoning Language Models
by: Liu, Junhao, et al.
Published: (2025)
by: Liu, Junhao, et al.
Published: (2025)
InvThink: Premortem Reasoning for Safer Language Models
by: Kim, Yubin, et al.
Published: (2025)
by: Kim, Yubin, et al.
Published: (2025)
Train Long, Think Short: Curriculum Learning for Efficient Reasoning
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)
Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
by: Tang, Yao, et al.
Published: (2026)
by: Tang, Yao, et al.
Published: (2026)
Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
by: Sheshanarayana, Disha, et al.
Published: (2026)
by: Sheshanarayana, Disha, et al.
Published: (2026)
Agents Thinking Fast and Slow: A Talker-Reasoner Architecture
by: Christakopoulou, Konstantina, et al.
Published: (2024)
by: Christakopoulou, Konstantina, et al.
Published: (2024)
Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers
by: Kohli, Harsh, et al.
Published: (2026)
by: Kohli, Harsh, et al.
Published: (2026)
Think Before You Lie: How Reasoning Leads to Honesty
by: Yuan, Ann, et al.
Published: (2026)
by: Yuan, Ann, et al.
Published: (2026)
Similar Items
-
SAGE-32B: Agentic Reasoning via Iterative Distillation
by: Jha, Basab, et al.
Published: (2026) -
SAGE Celer 2.6 Technical Card
by: SAGEA Research Team, et al.
Published: (2026) -
The Rosetta Paradox: Domain-Specific Performance Inversions in Large Language Models
by: Jha, Basab, et al.
Published: (2024) -
Fragile Mastery: Are Domain-Specific Trade-Offs Undermining On-Device Language Models?
by: Jha, Basab, et al.
Published: (2025) -
Thinking About Thinking: Evaluating Reasoning in Post-Trained Language Models
by: Singla, Pratham, et al.
Published: (2025)