Imagen de Portada

Code Aesthetics with Agentic Reward Feedback

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xiao, Bang, Jiang, Lingjie, Huang, Shaohan, Lv, Tengchao, Huang, Yupan, Wu, Xun, Cui, Lei, Wei, Furu
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Textual Aesthetics in Large Language Models
por: Jiang, Lingjie, et al.
Publicado: (2024)

Think Only When You Need with Large Hybrid-Reasoning Models
por: Jiang, Lingjie, et al.
Publicado: (2025)

VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
por: Jiang, Lingjie, et al.
Publicado: (2025)

Mixture of LoRA Experts
por: Wu, Xun, et al.
Publicado: (2024)

RedStone: Curating General, Code, Math, and QA Data for Large Language Models
por: Chang, Yaoyao, et al.
Publicado: (2024)

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

On-Policy RL with Optimal Reward Baseline
por: Hao, Yaru, et al.
Publicado: (2025)

MH-MoE: Multi-Head Mixture-of-Experts
por: Huang, Shaohan, et al.
Publicado: (2024)

Reward Reasoning Model
por: Guo, Jiaxin, et al.
Publicado: (2025)

Geometric-Mean Policy Optimization
por: Zhao, Yuzhong, et al.
Publicado: (2025)

Multi-Head Mixture-of-Experts
por: Wu, Xun, et al.
Publicado: (2024)

The Era of Agentic Organization: Learning to Organize with Language Models
por: Chi, Zewen, et al.
Publicado: (2025)

Scaling Data Difficulty: Improving Coding Models via Reinforcement Learning on Fresh and Challenging Problems
por: Li, Zongqian, et al.
Publicado: (2026)

On-Policy Context Distillation for Language Models
por: Ye, Tianzhu, et al.
Publicado: (2026)

KOSMOS-2.5: A Multimodal Literate Model
por: Lv, Tengchao, et al.
Publicado: (2023)

Adapting Large Language Models to Domains via Reading Comprehension
por: Cheng, Daixuan, et al.
Publicado: (2023)

Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
por: Zhang, Di, et al.
Publicado: (2025)

Online Experiential Learning for Language Models
por: Ye, Tianzhu, et al.
Publicado: (2026)

Black-Box On-Policy Distillation of Large Language Models
por: Ye, Tianzhu, et al.
Publicado: (2025)

Model as a Game: On Numerical and Spatial Consistency for Generative Games
por: Chen, Jingye, et al.
Publicado: (2025)

Multimodal Large Language Model is a Human-Aligned Annotator for Text-to-Image Generation
por: Wu, Xun, et al.
Publicado: (2024)

BitNet Distillation
por: Wu, Xun, et al.
Publicado: (2025)

Instruction Pre-Training: Language Models are Supervised Multitask Learners
por: Cheng, Daixuan, et al.
Publicado: (2024)

Thinking Augmented Pre-training
por: Wang, Liang, et al.
Publicado: (2025)

Universal YOCO for Efficient Depth Scaling
por: Sun, Yutao, et al.
Publicado: (2026)

Computer Environments Elicit General Agentic Intelligence in LLMs
por: Cheng, Daixuan, et al.
Publicado: (2026)

Kosmos-G: Generating Images in Context with Multimodal Large Language Models
por: Pan, Xichen, et al.
Publicado: (2023)

Breaking Training Bottlenecks: Effective and Stable Reinforcement Learning for Coding Models
por: Li, Zongqian, et al.
Publicado: (2026)

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark
por: Zhao, Qihao, et al.
Publicado: (2024)

Reasoning with Exploration: An Entropy Perspective
por: Cheng, Daixuan, et al.
Publicado: (2025)

Agentic Reinforcement Learning with Implicit Step Rewards
por: Liu, Xiaoqian, et al.
Publicado: (2025)

HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition
por: Liu, Yuxuan, et al.
Publicado: (2024)

$Se^2$: Sequential Example Selection for In-Context Learning
por: Liu, Haoyu, et al.
Publicado: (2024)

Sparse-BitNet: 1.58-bit LLMs are Naturally Friendly to Semi-Structured Sparsity
por: Zhang, Di, et al.
Publicado: (2026)

Improving Domain Adaptation through Extended-Text Reading Comprehension
por: Jiang, Ting, et al.
Publicado: (2024)

BitNet b1.58 2B4T Technical Report
por: Ma, Shuming, et al.
Publicado: (2025)

Shorten After You're Right: Lazy Length Penalties for Reasoning RL
por: Yuan, Danlong, et al.
Publicado: (2025)

You Only Cache Once: Decoder-Decoder Architectures for Language Models
por: Sun, Yutao, et al.
Publicado: (2024)

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
por: Jiang, Ting, et al.
Publicado: (2024)

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
por: Ma, Shuming, et al.
Publicado: (2024)