:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Xu, Shusheng, Fu, Wei, Gao, Jiaxuan, Ye, Wenjie, Liu, Weilin, Mei, Zhiyu, Wang, Guangju, Yu, Chao, Wu, Yi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	https://arxiv.org/abs/2404.10719
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

On Designing Effective RL Reward at Training Time for LLM Reasoning
di: Gao, Jiaxuan, et al.
Pubblicazione: (2024)

Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL
di: Gao, Jiaxuan, et al.
Pubblicazione: (2025)

How Far Are We from Optimal Reasoning Efficiency?
di: Gao, Jiaxuan, et al.
Pubblicazione: (2025)

SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
di: Mei, Zhiyu, et al.
Pubblicazione: (2023)

ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation
di: Mei, Zhiyu, et al.
Pubblicazione: (2024)

DPO Meets PPO: Reinforced Token Optimization for RLHF
di: Zhong, Han, et al.
Pubblicazione: (2024)

From Self-Evolving Synthetic Data to Verifiable-Reward RL: Post-Training Multi-turn Interactive Tool-Using Agents
di: Gao, Jiaxuan, et al.
Pubblicazione: (2026)

Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback
di: Ivison, Hamish, et al.
Pubblicazione: (2024)

Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation
di: Tu, Songjun, et al.
Pubblicazione: (2025)

Cat-DPO: Category-Adaptive Safety Alignment
di: Yang, Tiankai, et al.
Pubblicazione: (2026)

SP^2DPO: An LLM-assisted Semantic Per-Pair DPO Generalization
di: He, Chaoyue, et al.
Pubblicazione: (2026)

LAGOON: Language-Guided Motion Control
di: Xu, Shusheng, et al.
Pubblicazione: (2023)

A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
di: Lee, Andrew, et al.
Pubblicazione: (2024)

Towards Reliable Detection of LLM-Generated Texts: A Comprehensive Evaluation Framework with CUDRT
di: Tao, Zhen, et al.
Pubblicazione: (2024)

AREAL-DTA: Dynamic Tree Attention for Efficient Reinforcement Learning of Large Language Models
di: Zhang, Jiarui, et al.
Pubblicazione: (2026)

Robust Multi-Objective Preference Alignment with Online DPO
di: Gupta, Raghav, et al.
Pubblicazione: (2025)

Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs
di: Gu, Yuzhe, et al.
Pubblicazione: (2025)

AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
di: Fu, Wei, et al.
Pubblicazione: (2025)

MixDPO: Modeling Preference Strength for Pluralistic Alignment
di: Imai, Saki, et al.
Pubblicazione: (2026)

One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
di: Cai, Hongru, et al.
Pubblicazione: (2026)

Bootstrapping Language Models with DPO Implicit Rewards
di: Chen, Changyu, et al.
Pubblicazione: (2024)

Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks
di: Saeidi, Amir, et al.
Pubblicazione: (2024)

Alignment-Weighted DPO: A principled reasoning approach to improve safety alignment
di: Hu, Mengxuan, et al.
Pubblicazione: (2026)

Leveraging Robust Optimization for LLM Alignment under Distribution Shifts
di: Zhu, Mingye, et al.
Pubblicazione: (2025)

GroupDPO: Memory efficient Group-wise Direct Preference Optimization
di: Leng, Jixuan, et al.
Pubblicazione: (2026)

RMB: Comprehensively Benchmarking Reward Models in LLM Alignment
di: Zhou, Enyu, et al.
Pubblicazione: (2024)

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment
di: Xiao, Teng, et al.
Pubblicazione: (2024)

Context-DPO: Aligning Language Models for Context-Faithfulness
di: Bi, Baolong, et al.
Pubblicazione: (2024)

Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences
di: Pattnaik, Pulkit, et al.
Pubblicazione: (2024)

Recovering Diversity Without Losing Alignment: A DPO Recipe for Post-Trained LLMs
di: Samuel, Vinay, et al.
Pubblicazione: (2026)

Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates
di: Wei, Hui, et al.
Pubblicazione: (2024)

Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment from Heterogeneous Rewards
di: Zeng, Xia, et al.
Pubblicazione: (2025)

Enhancing LLM's Cognition via Structurization
di: Liu, Kai, et al.
Pubblicazione: (2024)

ElasticMem: Latent Memory as a Learnable Resource for LLM Agents
di: Feng, Tao, et al.
Pubblicazione: (2026)

AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
di: Wu, Junkang, et al.
Pubblicazione: (2024)

SignDPO: Multi-level Direct Preference Optimisation for Skeleton-based Gloss-free Sign Language Translation
di: Pu, Muxin, et al.
Pubblicazione: (2026)

Dive into the Agent Matrix: A Realistic Evaluation of Self-Replication Risk in LLM Agents
di: Zhang, Boxuan, et al.
Pubblicazione: (2025)

Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning
di: Xu, Huimin, et al.
Pubblicazione: (2025)

VERI-DPO: Evidence-Aware Alignment for Clinical Summarization via Claim Verification and Direct Preference Optimization
di: Liu, Weixin, et al.
Pubblicazione: (2026)

daDPO: Distribution-Aware DPO for Distilling Conversational Abilities
di: Zhang, Zhengze, et al.
Pubblicazione: (2025)