STaR: Sensitive Trajectory Regulation for Unlearning in Large Reasoning Models
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Jingjing, Cong, Gaoxiang, Su, Li, Li, Liang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Kwai-STaR: Transform LLMs into State-Transition Reasoners
by: Lu, Xingyu, et al.
Published: (2024)
by: Lu, Xingyu, et al.
Published: (2024)
V-STaR: Training Verifiers for Self-Taught Reasoners
by: Hosseini, Arian, et al.
Published: (2024)
by: Hosseini, Arian, et al.
Published: (2024)
STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Models
by: Zhang, Huajian, et al.
Published: (2025)
by: Zhang, Huajian, et al.
Published: (2025)
Lean-STaR: Learning to Interleave Thinking and Proving
by: Lin, Haohan, et al.
Published: (2024)
by: Lin, Haohan, et al.
Published: (2024)
STaR-Attack: A Spatio-Temporal and Narrative Reasoning Attack Framework for Unified Multimodal Understanding and Generation Models
by: Guo, Shaoxiong, et al.
Published: (2025)
by: Guo, Shaoxiong, et al.
Published: (2025)
STaR-GATE: Teaching Language Models to Ask Clarifying Questions
by: Andukuri, Chinmaya, et al.
Published: (2024)
by: Andukuri, Chinmaya, et al.
Published: (2024)
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
by: Zeng, Weihao, et al.
Published: (2024)
by: Zeng, Weihao, et al.
Published: (2024)
RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
by: Chang, Fu-Chieh, et al.
Published: (2024)
by: Chang, Fu-Chieh, et al.
Published: (2024)
STaR: Scalable Task-Conditioned Retrieval for Long-Horizon Multimodal Robot Memory
by: Yuan, Mingfeng, et al.
Published: (2026)
by: Yuan, Mingfeng, et al.
Published: (2026)
STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction
by: Fodeh, Samah, et al.
Published: (2026)
by: Fodeh, Samah, et al.
Published: (2026)
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
by: Zelikman, Eric, et al.
Published: (2024)
by: Zelikman, Eric, et al.
Published: (2024)
HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation
by: Xiong, Feng, et al.
Published: (2025)
by: Xiong, Feng, et al.
Published: (2025)
Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision
by: Zohar, Orr, et al.
Published: (2024)
by: Zohar, Orr, et al.
Published: (2024)
STaR-KV: Spatio-Temporal Adaptive Re-weighting for KV Cache Compression in GUI Vision-Language Models
by: Han, Yuhang, et al.
Published: (2026)
by: Han, Yuhang, et al.
Published: (2026)
FinSTaR: Towards Financial Reasoning with Time Series Reasoning Models
by: Lee, Seunghan, et al.
Published: (2026)
by: Lee, Seunghan, et al.
Published: (2026)
STaR-SQL: Self-Taught Reasoner for Text-to-SQL
by: He, Mingqian, et al.
Published: (2025)
by: He, Mingqian, et al.
Published: (2025)
V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning
by: Cheng, Zixu, et al.
Published: (2025)
by: Cheng, Zixu, et al.
Published: (2025)
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
by: Koh, Woosung, et al.
Published: (2025)
by: Koh, Woosung, et al.
Published: (2025)
Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
by: Li, Hongji, et al.
Published: (2025)
by: Li, Hongji, et al.
Published: (2025)
Fast Quiet-STaR: Thinking Without Thought Tokens
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
STaRR: Spatial-Temporal Token-Dynamics-Aware Responsive Remasking for Diffusion Language Models
by: Sun, Xinhao, et al.
Published: (2025)
by: Sun, Xinhao, et al.
Published: (2025)
Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectory?
by: Li, Aochong Oliver, et al.
Published: (2025)
by: Li, Aochong Oliver, et al.
Published: (2025)
ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
by: Lin, Yujie, et al.
Published: (2026)
by: Lin, Yujie, et al.
Published: (2026)
LMEraser: Large Model Unlearning through Adaptive Prompt Tuning
by: Xu, Jie, et al.
Published: (2024)
by: Xu, Jie, et al.
Published: (2024)
ERPO: Token-Level Entropy-Regulated Policy Optimization for Large Reasoning Models
by: Yu, Song, et al.
Published: (2026)
by: Yu, Song, et al.
Published: (2026)
From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in Large Reasoning Models via Decoupled Reasoning and Control
by: Ha, Rui, et al.
Published: (2025)
by: Ha, Rui, et al.
Published: (2025)
STaR-Bets: Sequential Target-Recalculating Bets for Tighter Confidence Intervals
by: Voráček, Václav, et al.
Published: (2025)
by: Voráček, Václav, et al.
Published: (2025)
Probing the Trajectories of Reasoning Traces in Large Language Models
by: Ballon, Marthe, et al.
Published: (2026)
by: Ballon, Marthe, et al.
Published: (2026)
ShipTraj-R1: Reinforcing Ship Trajectory Prediction in Large Language Models via Group Relative Policy Optimization
by: Zhan, Yang, et al.
Published: (2026)
by: Zhan, Yang, et al.
Published: (2026)
A Survey of Scaling in Large Language Model Reasoning
by: Chen, Zihan, et al.
Published: (2025)
by: Chen, Zihan, et al.
Published: (2025)
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
by: Xu, Qiancheng, et al.
Published: (2026)
by: Xu, Qiancheng, et al.
Published: (2026)
A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty
by: Feng, Xiaohua, et al.
Published: (2025)
by: Feng, Xiaohua, et al.
Published: (2025)
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
by: Li, Jiaqi, et al.
Published: (2024)
by: Li, Jiaqi, et al.
Published: (2024)
COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier
by: Luo, Gaoxiang, et al.
Published: (2025)
by: Luo, Gaoxiang, et al.
Published: (2025)
Offset Unlearning for Large Language Models
by: Huang, James Y., et al.
Published: (2024)
by: Huang, James Y., et al.
Published: (2024)
STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models
by: Jang, Kangwook, et al.
Published: (2023)
by: Jang, Kangwook, et al.
Published: (2023)
Multi-Objective Large Language Model Unlearning
by: Pan, Zibin, et al.
Published: (2024)
by: Pan, Zibin, et al.
Published: (2024)
Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning
by: Zeng, Zhen, et al.
Published: (2025)
by: Zeng, Zhen, et al.
Published: (2025)
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning
by: Xu, Naixing, et al.
Published: (2024)
by: Xu, Naixing, et al.
Published: (2024)
Causal Consistency Regularization: Training Verifiably Sensitive Reasoning in Large Language Models
by: Akter, Sanjeda, et al.
Published: (2025)
by: Akter, Sanjeda, et al.
Published: (2025)
Similar Items
-
Kwai-STaR: Transform LLMs into State-Transition Reasoners
by: Lu, Xingyu, et al.
Published: (2024) -
V-STaR: Training Verifiers for Self-Taught Reasoners
by: Hosseini, Arian, et al.
Published: (2024) -
STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Models
by: Zhang, Huajian, et al.
Published: (2025) -
Lean-STaR: Learning to Interleave Thinking and Proving
by: Lin, Haohan, et al.
Published: (2024) -
STaR-Attack: A Spatio-Temporal and Narrative Reasoning Attack Framework for Unified Multimodal Understanding and Generation Models
by: Guo, Shaoxiong, et al.
Published: (2025)