Cover Image

Code Aesthetics with Agentic Reward Feedback

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiao, Bang, Jiang, Lingjie, Huang, Shaohan, Lv, Tengchao, Huang, Yupan, Wu, Xun, Cui, Lei, Wei, Furu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)

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

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

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

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

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

Geometric-Mean Policy Optimization
by: Zhao, Yuzhong, et al.
Published: (2025)

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

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

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

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

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

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

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

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

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

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

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

BitNet Distillation
by: Wu, Xun, et al.
Published: (2025)

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

Thinking Augmented Pre-training
by: Wang, Liang, et al.
Published: (2025)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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