Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Markov Likelihood
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Xingyu, Wen, Yilin, Wang, En, Su, Du, Liu, Wenbin, Bao, Chenfu, Lv, Zhonghou |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Sequence-Level Likelihood
by: Lin, Xingyu, et al.
Published: (2026)
by: Lin, Xingyu, et al.
Published: (2026)
Safety-Utility Conflicts Are Not Global: Surgical Alignment via Head-Level Diagnosis
by: Cai, Wang, et al.
Published: (2026)
by: Cai, Wang, et al.
Published: (2026)
Discriminative Policy Optimization for Token-Level Reward Models
by: Chen, Hongzhan, et al.
Published: (2025)
by: Chen, Hongzhan, et al.
Published: (2025)
Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement
by: Lin, Chenyu, et al.
Published: (2025)
by: Lin, Chenyu, et al.
Published: (2025)
Selective Preference Optimization via Token-Level Reward Function Estimation
by: Yang, Kailai, et al.
Published: (2024)
by: Yang, Kailai, et al.
Published: (2024)
GTPO and GRPO-S: Token and Sequence-Level Reward Shaping with Policy Entropy
by: Tan, Hongze, et al.
Published: (2025)
by: Tan, Hongze, et al.
Published: (2025)
T-REG: Preference Optimization with Token-Level Reward Regularization
by: Zhou, Wenxuan, et al.
Published: (2024)
by: Zhou, Wenxuan, et al.
Published: (2024)
RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
by: Li, Jiahui, et al.
Published: (2024)
by: Li, Jiahui, et al.
Published: (2024)
TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching
by: Nguyen, Truong, et al.
Published: (2026)
by: Nguyen, Truong, et al.
Published: (2026)
TokenShapley: Token Level Context Attribution with Shapley Value
by: Xiao, Yingtai, et al.
Published: (2025)
by: Xiao, Yingtai, et al.
Published: (2025)
TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization
by: Zhu, Mingkang, et al.
Published: (2025)
by: Zhu, Mingkang, et al.
Published: (2025)
Distilling Token-Trained Models into Byte-Level Models
by: Bao, Zishuo, et al.
Published: (2026)
by: Bao, Zishuo, et al.
Published: (2026)
ResT: Reshaping Token-Level Policy Gradients for Tool-Use Large Language Models
by: Lin, Zihan, et al.
Published: (2025)
by: Lin, Zihan, et al.
Published: (2025)
Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation
by: Wei, Jingxuan, et al.
Published: (2024)
by: Wei, Jingxuan, et al.
Published: (2024)
Rethinking Personalization in Large Language Models at the Token Level
by: Zhang, Chenheng, et al.
Published: (2026)
by: Zhang, Chenheng, et al.
Published: (2026)
Alignment-Enhanced Decoding:Defending via Token-Level Adaptive Refining of Probability Distributions
by: Liu, Quan, et al.
Published: (2024)
by: Liu, Quan, et al.
Published: (2024)
Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers
by: Jang, Eugene, et al.
Published: (2024)
by: Jang, Eugene, et al.
Published: (2024)
Towards Token-Level Text Anomaly Detection
by: Cao, Yang, et al.
Published: (2026)
by: Cao, Yang, et al.
Published: (2026)
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)
Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding
by: Zhu, Yifan, et al.
Published: (2026)
by: Zhu, Yifan, et al.
Published: (2026)
Pretraining with Token-Level Adaptive Latent Chain-of-Thought
by: Zeng, Boyi, et al.
Published: (2026)
by: Zeng, Boyi, et al.
Published: (2026)
TAB-PO: Preference Optimization with a Token-Level Adaptive Barrier for Token-Critical Structured Generation
by: Fodeh, Samah, et al.
Published: (2026)
by: Fodeh, Samah, et al.
Published: (2026)
Beyond Token-Level Policy Gradients for Complex Reasoning with Large Language Models
by: Xu, Mufan, et al.
Published: (2026)
by: Xu, Mufan, et al.
Published: (2026)
Token-Level LLM Collaboration via FusionRoute
by: Xiong, Nuoya, et al.
Published: (2026)
by: Xiong, Nuoya, et al.
Published: (2026)
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback
by: Yoon, Eunseop, et al.
Published: (2024)
by: Yoon, Eunseop, et al.
Published: (2024)
TLDR: Token-Level Detective Reward Model for Large Vision Language Models
by: Fu, Deqing, et al.
Published: (2024)
by: Fu, Deqing, et al.
Published: (2024)
Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability
by: Lin, Zicheng, et al.
Published: (2024)
by: Lin, Zicheng, et al.
Published: (2024)
The Consensus Trap: Rescuing Multi-Agent LLMs from Adversarial Majorities via Token-Level Collaboration
by: Liu, Jiayuan, et al.
Published: (2026)
by: Liu, Jiayuan, et al.
Published: (2026)
MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts
by: Su, Zhenpeng, et al.
Published: (2024)
by: Su, Zhenpeng, et al.
Published: (2024)
Token-Level Privacy in Large Language Models
by: Harel, Re'em, et al.
Published: (2025)
by: Harel, Re'em, et al.
Published: (2025)
Scalable Token-Level Hallucination Detection in Large Language Models
by: Min, Rui, et al.
Published: (2026)
by: Min, Rui, et al.
Published: (2026)
Beyond Tokens: Concept-Level Training Objectives for LLMs
by: Iyer, Laya, et al.
Published: (2026)
by: Iyer, Laya, et al.
Published: (2026)
Token-Level Marginalization for Multi-Label LLM Classifiers
by: Praharaj, Anjaneya, et al.
Published: (2025)
by: Praharaj, Anjaneya, et al.
Published: (2025)
Learning to Generate Secure Code via Token-Level Rewards
by: Quan, Jiazheng, et al.
Published: (2026)
by: Quan, Jiazheng, et al.
Published: (2026)
Token Level Routing Inference System for Edge Devices
by: She, Jianshu, et al.
Published: (2025)
by: She, Jianshu, et al.
Published: (2025)
AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation
by: Zhang, Songming, et al.
Published: (2025)
by: Zhang, Songming, et al.
Published: (2025)
Large Language Models Struggle in Token-Level Clinical Named Entity Recognition
by: Lu, Qiuhao, et al.
Published: (2024)
by: Lu, Qiuhao, et al.
Published: (2024)
CharBench: Evaluating the Role of Tokenization in Character-Level Tasks
by: Uzan, Omri, et al.
Published: (2025)
by: Uzan, Omri, et al.
Published: (2025)
Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning
by: Xu, Zhu, et al.
Published: (2024)
by: Xu, Zhu, et al.
Published: (2024)
Token-Level Uncertainty-Aware Objective for Language Model Post-Training
by: Liu, Tingkai, et al.
Published: (2025)
by: Liu, Tingkai, et al.
Published: (2025)
Similar Items
-
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Sequence-Level Likelihood
by: Lin, Xingyu, et al.
Published: (2026) -
Safety-Utility Conflicts Are Not Global: Surgical Alignment via Head-Level Diagnosis
by: Cai, Wang, et al.
Published: (2026) -
Discriminative Policy Optimization for Token-Level Reward Models
by: Chen, Hongzhan, et al.
Published: (2025) -
Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement
by: Lin, Chenyu, et al.
Published: (2025) -
Selective Preference Optimization via Token-Level Reward Function Estimation
by: Yang, Kailai, et al.
Published: (2024)