Copertina

GRAM: A Generative Foundation Reward Model for Reward Generalization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Chenglong, Gan, Yang, Huo, Yifu, Mu, Yongyu, He, Qiaozhi, Yang, Murun, Li, Bei, Xiao, Tong, Zhang, Chunliang, Liu, Tongran, Zhu, Jingbo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

GRAM-R$^2$: Self-Training Generative Foundation Reward Models for Reward Reasoning
di: Wang, Chenglong, et al.
Pubblicazione: (2025)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Foundations of Large Language Models
di: Xiao, Tong, et al.
Pubblicazione: (2025)

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

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

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

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

CAMEL: Confidence-Gated Reflection for Reward Modeling
di: Zhu, Zirui, et al.
Pubblicazione: (2026)

Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation
di: Yang, Wenkai, et al.
Pubblicazione: (2026)

Zero-Shot Detection of LLM-Generated Text via Implicit Reward Model
di: Liu, Runheng, et al.
Pubblicazione: (2026)

GR-Ben: A General Reasoning Benchmark for Evaluating Process Reward Models
di: Sun, Zhouhao, et al.
Pubblicazione: (2026)

Rewarding Creativity: A Human-Aligned Generative Reward Model for Reinforcement Learning in Storytelling
di: Li, Zhaoyan, et al.
Pubblicazione: (2026)

RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
di: Jin, Zhuoran, et al.
Pubblicazione: (2024)

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

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

Reward Model Perspectives: Whose Opinions Do Reward Models Reward?
di: Elle
Pubblicazione: (2025)

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

Evaluating Reward Model Generalization via Pairwise Maximum Discrepancy Competitions
di: Luo, Shunyang, et al.
Pubblicazione: (2026)

SALMON: Self-Alignment with Instructable Reward Models
di: Sun, Zhiqing, et al.
Pubblicazione: (2023)

PerPO: Perceptual Preference Optimization via Discriminative Rewarding
di: Zhu, Zining, et al.
Pubblicazione: (2025)

Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
di: Yang, Rui, et al.
Pubblicazione: (2024)

PartialFormer: Modeling Part Instead of Whole for Machine Translation
di: Zheng, Tong, et al.
Pubblicazione: (2023)

Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language Model Critique in Text Generation
di: Cao, Meng, et al.
Pubblicazione: (2024)

Reward Generalization in RLHF: A Topological Perspective
di: Qiu, Tianyi, et al.
Pubblicazione: (2024)

Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model
di: Wu, Tianyi, et al.
Pubblicazione: (2026)