Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge Distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Minsang, Baek, Seung Jun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Syntriever: How to Train Your Retriever with Synthetic Data from LLMs
by: Kim, Minsang, et al.
Published: (2025)
by: Kim, Minsang, et al.
Published: (2025)
Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens
by: Koh, Seunghee, et al.
Published: (2026)
by: Koh, Seunghee, et al.
Published: (2026)
Training Language Models to Explain Their Own Computations
by: Li, Belinda Z., et al.
Published: (2025)
by: Li, Belinda Z., et al.
Published: (2025)
DistillSpec: Improving Speculative Decoding via Knowledge Distillation
by: Zhou, Yongchao, et al.
Published: (2023)
by: Zhou, Yongchao, et al.
Published: (2023)
Exploring Large Language Models on Cross-Cultural Values in Connection with Training Methodology
by: Kim, Minsang, et al.
Published: (2024)
by: Kim, Minsang, et al.
Published: (2024)
Measuring Sample Importance in Data Pruning for Language Models based on Information Entropy
by: Kim, Minsang, et al.
Published: (2024)
by: Kim, Minsang, et al.
Published: (2024)
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction
by: Kim, Minsang, et al.
Published: (2024)
by: Kim, Minsang, et al.
Published: (2024)
Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring
by: Jung, Hee-Jun, et al.
Published: (2022)
by: Jung, Hee-Jun, et al.
Published: (2022)
Think Clearly: Improving Reasoning via Redundant Token Pruning
by: Choi, Daewon, et al.
Published: (2025)
by: Choi, Daewon, et al.
Published: (2025)
Efficient Mathematical Reasoning Models via Dynamic Pruning and Knowledge Distillation
by: Yu, Fengming, et al.
Published: (2025)
by: Yu, Fengming, et al.
Published: (2025)
Oh! We Freeze: Improving Quantized Knowledge Distillation via Signal Propagation Analysis for Large Language Models
by: Bhardwaj, Kartikeya, et al.
Published: (2024)
by: Bhardwaj, Kartikeya, et al.
Published: (2024)
Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation
by: Phan, Phuc, et al.
Published: (2024)
by: Phan, Phuc, et al.
Published: (2024)
Agentic-R1: Distilled Dual-Strategy Reasoning
by: Du, Weihua, et al.
Published: (2025)
by: Du, Weihua, 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)
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
by: Zhong, Ruiqi, et al.
Published: (2024)
by: Zhong, Ruiqi, et al.
Published: (2024)
KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning
by: Xu, Hongling, et al.
Published: (2025)
by: Xu, Hongling, et al.
Published: (2025)
Reasoning Distillation and Structural Alignment for Improved Code Generation
by: Jalilifard, Amir, et al.
Published: (2025)
by: Jalilifard, Amir, et al.
Published: (2025)
SEAL: Scaling to Emphasize Attention for Long-Context Retrieval
by: Lee, Changhun, et al.
Published: (2025)
by: Lee, Changhun, et al.
Published: (2025)
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
by: Hu, Yuezhou, et al.
Published: (2025)
by: Hu, Yuezhou, et al.
Published: (2025)
QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
by: Kim, Minsang, et al.
Published: (2024)
by: Kim, Minsang, et al.
Published: (2024)
TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models
by: Choo, Jinho, et al.
Published: (2026)
by: Choo, Jinho, et al.
Published: (2026)
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning
by: Kim, Gyeongman, et al.
Published: (2024)
by: Kim, Gyeongman, et al.
Published: (2024)
Self-Distillation for Multi-Token Prediction
by: Zhao, Guoliang, et al.
Published: (2026)
by: Zhao, Guoliang, et al.
Published: (2026)
A Dual-Space Framework for General Knowledge Distillation of Large Language Models
by: Zhang, Xue, et al.
Published: (2025)
by: Zhang, Xue, et al.
Published: (2025)
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
by: Li, Xiaopeng, et al.
Published: (2024)
by: Li, Xiaopeng, et al.
Published: (2024)
Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States
by: Choi, Yunho, et al.
Published: (2026)
by: Choi, Yunho, et al.
Published: (2026)
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA
by: Agarwal, Dhruv, et al.
Published: (2023)
by: Agarwal, Dhruv, et al.
Published: (2023)
OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference
by: Shin, Seungjun, et al.
Published: (2025)
by: Shin, Seungjun, et al.
Published: (2025)
Compact Language Models via Pruning and Knowledge Distillation
by: Muralidharan, Saurav, et al.
Published: (2024)
by: Muralidharan, Saurav, et al.
Published: (2024)
Structural Rationale Distillation via Reasoning Space Compression
by: Yang, Jialin, et al.
Published: (2026)
by: Yang, Jialin, et al.
Published: (2026)
AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation
by: Zhang, Songming, et al.
Published: (2025)
by: Zhang, Songming, et al.
Published: (2025)
TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection
by: Wu, Wei, et al.
Published: (2024)
by: Wu, Wei, et al.
Published: (2024)
Assessing LLM Reasoning Steps via Principal Knowledge Grounding
by: Hwang, Hyeon, et al.
Published: (2025)
by: Hwang, Hyeon, 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)
SAGE-32B: Agentic Reasoning via Iterative Distillation
by: Jha, Basab, et al.
Published: (2026)
by: Jha, Basab, et al.
Published: (2026)
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
by: Su, DiJia, et al.
Published: (2025)
by: Su, DiJia, et al.
Published: (2025)
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
by: Tian, Yijun, et al.
Published: (2024)
by: Tian, Yijun, et al.
Published: (2024)
Learning to Reason with Mixture of Tokens
by: Jain, Adit, et al.
Published: (2025)
by: Jain, Adit, et al.
Published: (2025)
Better LLM Reasoning via Dual-Play
by: Zhang, Zhengxin, et al.
Published: (2025)
by: Zhang, Zhengxin, et al.
Published: (2025)
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
by: Barbulescu, George-Octavian, et al.
Published: (2024)
by: Barbulescu, George-Octavian, et al.
Published: (2024)
Similar Items
-
Syntriever: How to Train Your Retriever with Synthetic Data from LLMs
by: Kim, Minsang, et al.
Published: (2025) -
Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens
by: Koh, Seunghee, et al.
Published: (2026) -
Training Language Models to Explain Their Own Computations
by: Li, Belinda Z., et al.
Published: (2025) -
DistillSpec: Improving Speculative Decoding via Knowledge Distillation
by: Zhou, Yongchao, et al.
Published: (2023) -
Exploring Large Language Models on Cross-Cultural Values in Connection with Training Methodology
by: Kim, Minsang, et al.
Published: (2024)