:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Chenglong, Mu, Yongyu, Zhou, Hang, Huo, Yifu, Zhu, Ziming, Zeng, Jiali, Yang, Murun, Li, Bei, Hao, Xiaoyang, Zhang, Chunliang, Meng, Fandong, Zhu, Jingbo, Xiao, Tong
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2509.02492
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GRAM: A Generative Foundation Reward Model for Reward Generalization
by: Wang, Chenglong, et al.
Published: (2025)

Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
by: Wang, Chenglong, et al.
Published: (2025)

MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
by: Wang, Chenglong, et al.
Published: (2025)

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data
by: Wang, Chenglong, et al.
Published: (2024)

LRHP: Learning Representations for Human Preferences via Preference Pairs
by: Wang, Chenglong, et al.
Published: (2024)

Dissecting Long-Chain-of-Thought Reasoning Models: An Empirical Study
by: Mu, Yongyu, et al.
Published: (2025)

Prior Constraints-based Reward Model Training for Aligning Large Language Models
by: Zhou, Hang, et al.
Published: (2024)

Offline Exploration-Aware Fine-Tuning for Long-Chain Mathematical Reasoning
by: Mu, Yongyu, et al.
Published: (2026)

Cross-layer Attention Sharing for Pre-trained Large Language Models
by: Mu, Yongyu, et al.
Published: (2024)

Hybrid Alignment Training for Large Language Models
by: Wang, Chenglong, et al.
Published: (2024)

APR: Penalizing Structural Redundancy in Large Reasoning Models via Anchor-based Process Rewards
by: Chang, Kaiyan, et al.
Published: (2026)

MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning
by: Wang, Chenglong, et al.
Published: (2026)

LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination
by: Zhu, Ziming, et al.
Published: (2025)

Revealing the Parallel Multilingual Learning within Large Language Models
by: Mu, Yongyu, et al.
Published: (2024)

RewardAnything: Generalizable Principle-Following Reward Models
by: Yu, Zhuohao, et al.
Published: (2025)

HEAL: A Hypothesis-Based Preference-Aware Analysis Framework
by: Huo, Yifu, et al.
Published: (2025)

DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering
by: Wang, Yilin, et al.
Published: (2026)

Translate-and-Revise: Boosting Large Language Models for Constrained Translation
by: Huang, Pengcheng, et al.
Published: (2024)

SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment
by: Fan, Yuchun, et al.
Published: (2025)

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models
by: Fan, Yuchun, et al.
Published: (2025)

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models
by: Huo, Yifu, et al.
Published: (2026)

Learning Evaluation Models from Large Language Models for Sequence Generation
by: Wang, Chenglong, et al.
Published: (2023)

When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning
by: Mao, Ruixiang, et al.
Published: (2026)

Video Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models
by: Wei, Yuancheng, et al.
Published: (2026)

SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams
by: Wang, Chenglong, et al.
Published: (2026)

Foundations of Large Language Models
by: Xiao, Tong, et al.
Published: (2025)

LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance
by: Fan, Yuchun, et al.
Published: (2026)

Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models
by: Mu, Yongyu, et al.
Published: (2025)

TIM: Teaching Large Language Models to Translate with Comparison
by: Zeng, Jiali, et al.
Published: (2023)

Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding
by: Zeng, Jiali, et al.
Published: (2023)

Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective
by: Shao, Chenze, et al.
Published: (2024)

RM-R1: Reward Modeling as Reasoning
by: Chen, Xiusi, et al.
Published: (2025)

Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation
by: Luo, Yingfeng, et al.
Published: (2025)

TasTe: Teaching Large Language Models to Translate through Self-Reflection
by: Wang, Yutong, et al.
Published: (2024)

Training People to Reward Robots
by: Sun, Endong, et al.
Published: (2025)

Learning Reward for Robot Skills Using Large Language Models via Self-Alignment
by: Zeng, Yuwei, et al.
Published: (2024)

Reward Training Wheels: Adaptive Auxiliary Rewards for Robotics Reinforcement Learning
by: Wang, Linji, et al.
Published: (2025)

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs
by: Luo, Yingfeng, et al.
Published: (2025)

LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation
by: Yin, Yongjing, et al.
Published: (2024)

Teaching Language Models to Self-Improve by Learning from Language Feedback
by: Hu, Chi, et al.
Published: (2024)