Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives
Fuente:
arXiv
Saved in:
| Main Authors: | Xiong, Wei, Ye, Chenlu, Liao, Baohao, Dong, Hanze, Xu, Xinxing, Monz, Christof, Bian, Jiang, Jiang, Nan, Zhang, Tong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Hinting Language Models Enhance Reinforcement Learning
by: Liao, Baohao, et al.
Published: (2026)
by: Liao, Baohao, et al.
Published: (2026)
Is It a Free Lunch for Removing Outliers during Pretraining?
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
by: Ye, Chenlu, et al.
Published: (2024)
by: Ye, Chenlu, et al.
Published: (2024)
Fractured Chain-of-Thought Reasoning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
Reward-Guided Speculative Decoding for Efficient LLM Reasoning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches
by: He, Linyang, et al.
Published: (2026)
by: He, Linyang, et al.
Published: (2026)
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint
by: Xiong, Wei, et al.
Published: (2023)
by: Xiong, Wei, et al.
Published: (2023)
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
by: Yao, Jiarui, et al.
Published: (2025)
by: Yao, Jiarui, et al.
Published: (2025)
AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting
by: Li, Renda, et al.
Published: (2025)
by: Li, Renda, et al.
Published: (2025)
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation
by: Vasilev, Stefan, et al.
Published: (2025)
by: Vasilev, Stefan, et al.
Published: (2025)
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
by: Xiong, Wei, et al.
Published: (2025)
by: Xiong, Wei, et al.
Published: (2025)
Self-rewarding correction for mathematical reasoning
by: Xiong, Wei, et al.
Published: (2025)
by: Xiong, Wei, et al.
Published: (2025)
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models
by: Chen, Xinyi, et al.
Published: (2024)
by: Chen, Xinyi, et al.
Published: (2024)
Rethinking Importance Sampling in LLM Policy Optimization: A Cumulative Token Perspective
by: Zhang, Yuheng, et al.
Published: (2026)
by: Zhang, Yuheng, et al.
Published: (2026)
An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling
by: Huang, Xunpeng, et al.
Published: (2024)
by: Huang, Xunpeng, et al.
Published: (2024)
Logarithmic Regret for Online KL-Regularized Reinforcement Learning
by: Zhao, Heyang, et al.
Published: (2025)
by: Zhao, Heyang, et al.
Published: (2025)
Lost at the Beginning of Reasoning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models
by: Rajaee, Sara, et al.
Published: (2024)
by: Rajaee, Sara, et al.
Published: (2024)
Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling
by: Tan, Shaomu, et al.
Published: (2025)
by: Tan, Shaomu, et al.
Published: (2025)
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation
by: Wu, Di, et al.
Published: (2023)
by: Wu, Di, et al.
Published: (2023)
Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation
by: Meng, Yan, et al.
Published: (2024)
by: Meng, Yan, et al.
Published: (2024)
The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation
by: Stap, David, et al.
Published: (2025)
by: Stap, David, et al.
Published: (2025)
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes
by: Ye, Chenlu, et al.
Published: (2022)
by: Ye, Chenlu, et al.
Published: (2022)
Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL
by: Ye, Chenlu, et al.
Published: (2026)
by: Ye, Chenlu, et al.
Published: (2026)
RLHF Workflow: From Reward Modeling to Online RLHF
by: Dong, Hanze, et al.
Published: (2024)
by: Dong, Hanze, et al.
Published: (2024)
Corruption-Robust Offline Reinforcement Learning with General Function Approximation
by: Ye, Chenlu, et al.
Published: (2023)
by: Ye, Chenlu, et al.
Published: (2023)
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
by: Ye, Chenlu, et al.
Published: (2024)
by: Ye, Chenlu, et al.
Published: (2024)
Faster Sampling via Stochastic Gradient Proximal Sampler
by: Huang, Xunpeng, et al.
Published: (2024)
by: Huang, Xunpeng, et al.
Published: (2024)
Do Language Models Reason Across Languages?
by: Meng, Yan, et al.
Published: (2026)
by: Meng, Yan, et al.
Published: (2026)
Neuron Specialization: Leveraging intrinsic task modularity for multilingual machine translation
by: Tan, Shaomu, et al.
Published: (2024)
by: Tan, Shaomu, et al.
Published: (2024)
Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
Calibrating Translation Decoding with Quality Estimation on LLMs
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
by: Meng, Yan, et al.
Published: (2024)
by: Meng, Yan, et al.
Published: (2024)
FBOS-RL: Feedback-Driven Bi-Objective Synergistic Reinforcement Learning
by: Zhang, Xikai, et al.
Published: (2026)
by: Zhang, Xikai, et al.
Published: (2026)
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo
by: Huang, Xunpeng, et al.
Published: (2024)
by: Huang, Xunpeng, et al.
Published: (2024)
Reinforcement Learning with Non-Cumulative Objective
by: Cui, Wei, et al.
Published: (2023)
by: Cui, Wei, et al.
Published: (2023)
Similar Items
-
Self-Hinting Language Models Enhance Reinforcement Learning
by: Liao, Baohao, et al.
Published: (2026) -
Is It a Free Lunch for Removing Outliers during Pretraining?
by: Liao, Baohao, et al.
Published: (2024) -
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
by: Liao, Baohao, et al.
Published: (2024) -
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
by: Ye, Chenlu, et al.
Published: (2024) -
Fractured Chain-of-Thought Reasoning
by: Liao, Baohao, et al.
Published: (2025)