ResT: Reshaping Token-Level Policy Gradients for Tool-Use Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Zihan, Wang, Xiaohan, Cao, Jie, Chai, Jiajun, Yin, Guojun, Lin, Wei, He, Ran |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AWPO: Enhancing Tool-Use of Large Language Models through Adaptive Integration of Reasoning Rewards
by: Lin, Zihan, et al.
Published: (2025)
by: Lin, Zihan, et al.
Published: (2025)
ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning
by: Lin, Zihan, et al.
Published: (2026)
by: Lin, Zihan, et al.
Published: (2026)
Rethinking Personalization in Large Language Models at the Token Level
by: Zhang, Chenheng, et al.
Published: (2026)
by: Zhang, Chenheng, et al.
Published: (2026)
Implicit Hierarchical GRPO: Decoupling Tool Invocation from Execution for Tool-Integrated Mathematical Reasoning
by: Wang, Li, et al.
Published: (2026)
by: Wang, Li, et al.
Published: (2026)
Are Full Rollouts Necessary for On-Policy Distillation?
by: Zhang, Yaocheng, et al.
Published: (2026)
by: Zhang, Yaocheng, 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)
When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards
by: Wang, Li, et al.
Published: (2026)
by: Wang, Li, et al.
Published: (2026)
AMR-SD: Asymmetric Meta-Reflective Self-Distillation for Token-Level Credit Assignment
by: Wei, Zhenlin, et al.
Published: (2026)
by: Wei, Zhenlin, et al.
Published: (2026)
Joint Training of Multi-Token Prediction in Reinforcement Learning via Optimal Coefficient Calibration
by: Wang, Zili, et al.
Published: (2026)
by: Wang, Zili, et al.
Published: (2026)
From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory
by: Xia, Siyu, et al.
Published: (2025)
by: Xia, Siyu, et al.
Published: (2025)
$π$-Play: Multi-Agent Self-Play via Privileged Self-Distillation without External Data
by: Zhang, Yaocheng, et al.
Published: (2026)
by: Zhang, Yaocheng, et al.
Published: (2026)
Problematic Tokens: Tokenizer Bias in Large Language Models
by: Yang, Jin, et al.
Published: (2024)
by: Yang, Jin, et al.
Published: (2024)
Mitigating Gradient Inversion Risks in Language Models via Token Obfuscation
by: Feng, Xinguo, et al.
Published: (2026)
by: Feng, Xinguo, et al.
Published: (2026)
Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization
by: Li, Guanghan, et al.
Published: (2024)
by: Li, Guanghan, 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)
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Markov Likelihood
by: Lin, Xingyu, et al.
Published: (2025)
by: Lin, Xingyu, et al.
Published: (2025)
Large Language Model as Token Compressor and Decompressor
by: Li, Wenbing, et al.
Published: (2026)
by: Li, Wenbing, et al.
Published: (2026)
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)
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)
Tokenization Falling Short: On Subword Robustness in Large Language Models
by: Chai, Yekun, et al.
Published: (2024)
by: Chai, Yekun, et al.
Published: (2024)
Remask, Don't Replace: Token-to-Mask Refinement in Diffusion Large Language Models
by: Yao, Lin
Published: (2026)
by: Yao, Lin
Published: (2026)
Agentic Tool Use in Large Language Models
by: Hu, Jinchao, et al.
Published: (2026)
by: Hu, Jinchao, et al.
Published: (2026)
Token-Level Privacy in Large Language Models
by: Harel, Re'em, et al.
Published: (2025)
by: Harel, Re'em, et al.
Published: (2025)
Beyond Next Token Prediction: Patch-Level Training for Large Language Models
by: Shao, Chenze, et al.
Published: (2024)
by: Shao, Chenze, et al.
Published: (2024)
Extend Adversarial Policy Against Neural Machine Translation via Unknown Token
by: Zou, Wei, et al.
Published: (2025)
by: Zou, Wei, et al.
Published: (2025)
Self-Training Large Language Models for Tool-Use Without Demonstrations
by: Luo, Ne, et al.
Published: (2025)
by: Luo, Ne, et al.
Published: (2025)
MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation
by: Wang, Xiaohan, et al.
Published: (2024)
by: Wang, Xiaohan, et al.
Published: (2024)
RLFactory: A Plug-and-Play Reinforcement Learning Post-Training Framework for LLM Multi-Turn Tool-Use
by: Chai, Jiajun, et al.
Published: (2025)
by: Chai, Jiajun, et al.
Published: (2025)
Diver: Large Language Model Decoding with Span-Level Mutual Information Verification
by: Lu, Jinliang, et al.
Published: (2024)
by: Lu, Jinliang, et al.
Published: (2024)
HieraVid: Hierarchical Token Pruning for Fast Video Large Language Models
by: Guo, Yansong, et al.
Published: (2026)
by: Guo, Yansong, et al.
Published: (2026)
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use
by: Ye, Junjie, et al.
Published: (2025)
by: Ye, Junjie, et al.
Published: (2025)
FamilyTool: A Multi-hop Personalized Tool Use Benchmark
by: Wang, Yuxin, et al.
Published: (2025)
by: Wang, Yuxin, et al.
Published: (2025)
Alignment for Efficient Tool Calling of Large Language Models
by: Xu, Hongshen, et al.
Published: (2025)
by: Xu, Hongshen, et al.
Published: (2025)
Hit the Sweet Spot! Span-Level Ensemble for Large Language Models
by: Xu, Yangyifan, et al.
Published: (2024)
by: Xu, Yangyifan, et al.
Published: (2024)
MTIR-SQL: Multi-turn Tool-Integrated Reasoning Reinforcement Learning for Text-to-SQL
by: Xu, Zekun, et al.
Published: (2025)
by: Xu, Zekun, et al.
Published: (2025)
ICU: Conquering Language Barriers in Vision-and-Language Modeling by Dividing the Tasks into Image Captioning and Language Understanding
by: Wu, Guojun
Published: (2023)
by: Wu, Guojun
Published: (2023)
Discriminative Policy Optimization for Token-Level Reward Models
by: Chen, Hongzhan, et al.
Published: (2025)
by: Chen, Hongzhan, et al.
Published: (2025)
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
by: Huang, Yue, et al.
Published: (2023)
by: Huang, Yue, et al.
Published: (2023)
Memory Retrieval and Consolidation in Large Language Models through Function Tokens
by: Zhang, Shaohua, et al.
Published: (2025)
by: Zhang, Shaohua, et al.
Published: (2025)
Re-Initialization Token Learning for Tool-Augmented Large Language Models
by: Li, Chenghao, et al.
Published: (2025)
by: Li, Chenghao, et al.
Published: (2025)
Similar Items
-
AWPO: Enhancing Tool-Use of Large Language Models through Adaptive Integration of Reasoning Rewards
by: Lin, Zihan, et al.
Published: (2025) -
ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning
by: Lin, Zihan, et al.
Published: (2026) -
Rethinking Personalization in Large Language Models at the Token Level
by: Zhang, Chenheng, et al.
Published: (2026) -
Implicit Hierarchical GRPO: Decoupling Tool Invocation from Execution for Tool-Integrated Mathematical Reasoning
by: Wang, Li, et al.
Published: (2026) -
Are Full Rollouts Necessary for On-Policy Distillation?
by: Zhang, Yaocheng, et al.
Published: (2026)