:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hong, Jiwoo, Tang, Shao, Wang, Zhipeng
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Computation and Language
Accès en ligne:	https://arxiv.org/abs/2602.08819
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the Robustness of Reward Models for Language Model Alignment
par: Hong, Jiwoo, et autres
Publié: (2025)

Preference Poisoning Attacks on Reward Model Learning
par: Wu, Junlin, et autres
Publié: (2024)

Generalizing Reward Modeling for Out-of-Distribution Preference Learning
par: Jia, Chen
Publié: (2024)

Duel-Evolve: Reward-Free Test-Time Scaling via LLM Self-Preferences
par: Karlekar, Sweta, et autres
Publié: (2026)

Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input
par: Peng, Andi, et autres
Publié: (2024)

Robust Preference Optimization through Reward Model Distillation
par: Fisch, Adam, et autres
Publié: (2024)

Deep Bayesian Active Learning for Preference Modeling in Large Language Models
par: Melo, Luckeciano C., et autres
Publié: (2024)

Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts
par: Wang, Haoxiang, et autres
Publié: (2024)

Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase Search
par: Cui, Yingqian, et autres
Publié: (2025)

On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization
par: Lin, Yong, et autres
Publié: (2024)

Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment
par: Sun, Shengyang, et autres
Publié: (2025)

RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance
par: Chen, Tianlang, et autres
Publié: (2025)

Beyond Scalar Reward Model: Learning Generative Judge from Preference Data
par: Ye, Ziyi, et autres
Publié: (2024)

C2: Scalable Rubric-Augmented Reward Modeling from Binary Preferences
par: Kawabata, Akira, et autres
Publié: (2026)

Exploring Chain-of-Thought Reasoning for Steerable Pluralistic Alignment
par: Zhang, Yunfan, et autres
Publié: (2025)

Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
par: Nath, Abhijnan, et autres
Publié: (2024)

Group Robust Preference Optimization in Reward-free RLHF
par: Ramesh, Shyam Sundhar, et autres
Publié: (2024)

Entropy Centroids as Intrinsic Rewards for Test-Time Scaling
par: Zhao, Wenshuo, et autres
Publié: (2026)

Tool Calling is Linearly Readable and Steerable in Language Models
par: Wu, Zekun, et autres
Publié: (2026)

Larger or Smaller Reward Margins to Select Preferences for Alignment?
par: Huang, Kexin, et autres
Publié: (2025)

West-of-N: Synthetic Preferences for Self-Improving Reward Models
par: Pace, Alizée, et autres
Publié: (2024)

EVALUESTEER: Measuring Reward Model Steerability Towards Values and Preferences
par: Ghate, Kshitish, et autres
Publié: (2025)

AutoRule: Reasoning Chain-of-thought Extracted Rule-based Rewards Improve Preference Learning
par: Wang, Tevin, et autres
Publié: (2025)

When In-Distribution Gains Fail: Evaluating Weak-to-Strong Reward Models under Preference Shift
par: Le, Khoi, et autres
Publié: (2026)

Sentence-level Reward Model can Generalize Better for Aligning LLM from Human Preference
par: Qiu, Wenjie, et autres
Publié: (2025)

Reinforcement Learning Teachers of Test Time Scaling
par: Cetin, Edoardo, et autres
Publié: (2025)

AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
par: Wu, Junkang, et autres
Publié: (2024)

The Geometric Canary: Predicting Steerability and Detecting Drift via Representational Stability
par: Raju, Prashant C.
Publié: (2026)

Direct Preference Optimization: Your Language Model is Secretly a Reward Model
par: Rafailov, Rafael, et autres
Publié: (2023)

DreamReward: Text-to-3D Generation with Human Preference
par: Ye, Junliang, et autres
Publié: (2024)

SimPO: Simple Preference Optimization with a Reference-Free Reward
par: Meng, Yu, et autres
Publié: (2024)

On the Power of (Approximate) Reward Models for Inference-Time Scaling
par: Zhu, Youheng, et autres
Publié: (2026)

Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards
par: Wang, Haoxiang, et autres
Publié: (2024)

VerifierQ: Enhancing LLM Test Time Compute with Q-Learning-based Verifiers
par: Qi, Jianing, et autres
Publié: (2024)

Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model
par: Hong, Yuzhong, et autres
Publié: (2024)

Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting
par: Chen, Zhuomin, et autres
Publié: (2025)

Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
par: Xu, Ran, et autres
Publié: (2026)

Test-Time Scaling with Reflective Generative Model
par: Wang, Zixiao, et autres
Publié: (2025)

Inference-Time Scaling for Generalist Reward Modeling
par: Liu, Zijun, et autres
Publié: (2025)

A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMs
par: Chang, Trenton, et autres
Publié: (2025)