Copertina

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dou, Shihan, Liu, Yan, Jia, Haoxiang, Xiong, Limao, Zhou, Enyu, Shen, Wei, Shan, Junjie, Huang, Caishuang, Wang, Xiao, Fan, Xiaoran, Xi, Zhiheng, Zhou, Yuhao, Ji, Tao, Zheng, Rui, Zhang, Qi, Huang, Xuanjing, Gui, Tao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MetaRM: Shifted Distributions Alignment via Meta-Learning
di: Dou, Shihan, et al.
Pubblicazione: (2024)

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models
di: Lv, Huijie, et al.
Pubblicazione: (2024)

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

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
di: Ye, Junjie, et al.
Pubblicazione: (2024)

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals
di: Zheng, Rui, et al.
Pubblicazione: (2024)

MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning
di: Lin, Jiahang, et al.
Pubblicazione: (2026)

SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance
di: Huang, Caishuang, et al.
Pubblicazione: (2024)

VRPO: Rethinking Value Modeling for Robust RL Training under Noisy Supervision
di: Zhu, Dingwei, et al.
Pubblicazione: (2025)

Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective
di: Zhang, Zhihao, et al.
Pubblicazione: (2025)

LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
di: Dou, Shihan, et al.
Pubblicazione: (2023)

Steering LLMs via Scalable Interactive Oversight
di: Zhou, Enyu, et al.
Pubblicazione: (2026)

JFTA-Bench: Evaluate LLM's Ability of Tracking and Analyzing Malfunctions Using Fault Trees
di: Wang, Yuhui, et al.
Pubblicazione: (2026)

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
di: Ye, Junjie, et al.
Pubblicazione: (2025)

RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
di: Ye, Junjie, et al.
Pubblicazione: (2024)

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
di: Xi, Zhiheng, et al.
Pubblicazione: (2023)

Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses
di: Lin, Jiahang, et al.
Pubblicazione: (2026)

Distill Visual Chart Reasoning Ability from LLMs to MLLMs
di: He, Wei, et al.
Pubblicazione: (2024)

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models
di: Zhou, Weikang, et al.
Pubblicazione: (2024)

TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
di: Zhang, Ming, et al.
Pubblicazione: (2024)

RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions
di: Zhang, Yuansen, et al.
Pubblicazione: (2024)

CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection
di: Dou, Shihan, et al.
Pubblicazione: (2024)

MouSi: Poly-Visual-Expert Vision-Language Models
di: Fan, Xiaoran, et al.
Pubblicazione: (2024)

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study
di: Dou, Shihan, et al.
Pubblicazione: (2024)

Secrets of RLHF in Large Language Models Part II: Reward Modeling
di: Wang, Binghai, et al.
Pubblicazione: (2024)

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
di: Ye, Junjie, et al.
Pubblicazione: (2024)

Improving RL Exploration for LLM Reasoning through Retrospective Replay
di: Dou, Shihan, et al.
Pubblicazione: (2025)

Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
di: Jiang, Changhao, et al.
Pubblicazione: (2025)

FinToolSyn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool Retrieval
di: Huang, Caishuang, et al.
Pubblicazione: (2026)

Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization
di: Wang, Junzhe, et al.
Pubblicazione: (2026)

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
di: Xi, Zhiheng, et al.
Pubblicazione: (2024)

AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress
di: Xi, Zhiheng, et al.
Pubblicazione: (2025)

Aligning Large Language Models from Self-Reference AI Feedback with one General Principle
di: Bao, Rong, et al.
Pubblicazione: (2024)

EliteKV: Scalable KV Cache Compression via RoPE Frequency Selection and Joint Low-Rank Projection
di: Zhou, Yuhao, et al.
Pubblicazione: (2025)

DFPO: Scaling Value Modeling via Distributional Flow towards Robust and Generalizable LLM Post-Training
di: Zhu, Dingwei, et al.
Pubblicazione: (2026)

Unlocking the Essence of Beauty: Advanced Aesthetic Reasoning with Relative-Absolute Policy Optimization
di: Liu, Boyang, et al.
Pubblicazione: (2025)

SpeechRole: A Large-Scale Dataset and Benchmark for Evaluating Speech Role-Playing Agents
di: Jiang, Changhao, et al.
Pubblicazione: (2025)

Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution
di: Xu, Nuo, et al.
Pubblicazione: (2024)

From Scores to Preferences: Redefining MOS Benchmarking for Speech Quality Reward Modeling
di: Cao, Yifei, et al.
Pubblicazione: (2025)

ChartE$^{3}$: A Comprehensive Benchmark for End-to-End Chart Editing
di: Li, Shuo, et al.
Pubblicazione: (2026)

Entropy Polarity in Reinforcement Fine-Tuning: Direction, Asymmetry, and Control
di: Zhang, Jiazheng, et al.
Pubblicazione: (2026)