:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zang, Jianxiang, Wei, Yongda, Bai, Ruxue, Jiang, Shiyu, Mo, Nijia, Li, Binhong, Sun, Qiang, Liu, Hui
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2512.00920
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Compression Hacking: A Supplementary Perspective on Informatics Properties of Language Models from Geometric Distortion
by: Zang, Jianxiang, et al.
Published: (2025)

S2Sent: Nested Selectivity Aware Sentence Representation Learning
by: Zang, Jianxiang, et al.
Published: (2025)

Alleviating Attention Hacking in Discriminative Reward Modeling through Interaction Distillation
by: Zang, Jianxiang
Published: (2025)

Explanation based Bias Decoupling Regularization for Natural Language Inference
by: Zang, Jianxiang, et al.
Published: (2024)

Modeling Selective Feature Attention for Representation-based Siamese Text Matching
by: Zang, Jianxiang, et al.
Published: (2024)

Long-form RewardBench: Evaluating Reward Models for Long-form Generation
by: Huang, Hui, et al.
Published: (2026)

Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents
by: Men, Tianyi, et al.
Published: (2025)

Inference-Time Scaling for Generalist Reward Modeling
by: Liu, Zijun, et al.
Published: (2025)

Small Reward Models via Backward Inference
by: Wang, Yike, et al.
Published: (2026)

RRM: Robust Reward Model Training Mitigates Reward Hacking
by: Liu, Tianqi, et al.
Published: (2024)

Consolidating Rewarded Perturbations for LLM Post-Training
by: Zhang, Zheyu, et al.
Published: (2026)

Fixing the Broken Compass: Diagnosing and Improving Inference-Time Reward Modeling
by: Li, Jiachun, et al.
Published: (2025)

Chain of Uncertain Rewards with Large Language Models for Reinforcement Learning
by: Mo, Shentong
Published: (2026)

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
by: Liu, Chris Yuhao, et al.
Published: (2024)

Reward Model Perspectives: Whose Opinions Do Reward Models Reward?
by: Elle
Published: (2025)

RM-Distiller: Exploiting Generative LLM for Reward Model Distillation
by: Zhou, Hongli, et al.
Published: (2026)

Reward Reasoning Model
by: Guo, Jiaxin, et al.
Published: (2025)

ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models
by: Li, Xiaomin, et al.
Published: (2025)

Reward Prediction with Factorized World States
by: Shen, Yijun, et al.
Published: (2026)

On the Power of (Approximate) Reward Models for Inference-Time Scaling
by: Zhu, Youheng, et al.
Published: (2026)

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

Tool-Augmented Reward Modeling
by: Li, Lei, et al.
Published: (2023)

DocReward: A Document Reward Model for Structuring and Stylizing
by: Liu, Junpeng, et al.
Published: (2025)

RewardBench 2: Advancing Reward Model Evaluation
by: Malik, Saumya, et al.
Published: (2025)

InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
by: Zang, Yuhang, et al.
Published: (2025)

Libra: Assessing and Improving Reward Model by Learning to Think
by: Zhou, Meng, et al.
Published: (2025)

PARM: Pipeline-Adapted Reward Model
by: Fan, Xingyu, et al.
Published: (2026)

Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization
by: Bai, Yang, et al.
Published: (2026)

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

EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
by: Wu, Keming, et al.
Published: (2025)

Reward Models Can Improve Themselves: Reward-Guided Adversarial Failure Mode Discovery for Robust Reward Modeling
by: Pathmanathan, Pankayaraj, et al.
Published: (2025)

Towards Real-world Scenario: Imbalanced New Intent Discovery
by: Zhang, Shun, et al.
Published: (2024)

From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation
by: Jiang, Yuxin, et al.
Published: (2026)

SteerRM: Debiasing Reward Models via Sparse Autoencoders
by: Sun, Mengyuan, et al.
Published: (2026)

Dynamic and Generalizable Process Reward Modeling
by: Yin, Zhangyue, et al.
Published: (2025)

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding
by: Sun, Zhongxiang, et al.
Published: (2025)

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
by: Li, Lei, et al.
Published: (2024)

ReSeek: A Self-Correcting Framework for Search Agents with Instructive Rewards
by: Li, Shiyu, et al.
Published: (2025)

Inference Time Alignment with Reward-Guided Tree Search
by: Hung, Chia-Yu, et al.
Published: (2024)

Code Aesthetics with Agentic Reward Feedback
by: Xiao, Bang, et al.
Published: (2025)