Cover Image

Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Aozhe, Yan, Yuchen, Zhou, Nan, Lu, Zhengxi, Lu, Weiming, Xiao, Jun, Zhuang, Yueting, Shen, Yongliang
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Test-Time Reinforcement Learning for GUI Grounding via Region Consistency
by: Du, Yong, et al.
Published: (2025)

EasySteer: A Unified Framework for High-Performance and Extensible LLM Steering
by: Xu, Haolei, et al.
Published: (2025)

Self-Distilled Agentic Reinforcement Learning
by: Lu, Zhengxi, et al.
Published: (2026)

GroundAct: Can LLM Agents Ground Actions in Environmental States?
by: Wang, Zixuan, et al.
Published: (2025)

Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization
by: Zhang, Wenqi, et al.
Published: (2024)

UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning
by: Lu, Zhengxi, et al.
Published: (2025)

Milestone-Guided Policy Learning for Long-Horizon Language Agents
by: Wang, Zixuan, et al.
Published: (2026)

EvolveCoder: Evolving Test Cases via Adversarial Verification for Code Reinforcement Learning
by: Ruan, Chi, et al.
Published: (2026)

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization
by: Wu, Xingyu, et al.
Published: (2025)

Let LRMs Break Free from Overthinking via Self-Braking Tuning
by: Zhao, Haoran, et al.
Published: (2025)

ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents
by: Tang, Fei, et al.
Published: (2026)

UI-Zoomer: Uncertainty-Driven Adaptive Zoom-In for GUI Grounding
by: Tang, Fei, et al.
Published: (2026)

SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization
by: Lu, Zhengxi, et al.
Published: (2026)

Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives
by: Zhang, Wenqi, et al.
Published: (2024)

InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning
by: Yan, Yuchen, et al.
Published: (2026)

Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
by: Hong, Haitao, et al.
Published: (2025)

Hierarchical Budget Policy Optimization for Adaptive Reasoning
by: Lyu, Shangke, et al.
Published: (2025)

Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning
by: Xu, Haolei, et al.
Published: (2025)

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding
by: Tang, Fei, et al.
Published: (2025)

SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models
by: Li, Hongxing, et al.
Published: (2025)

Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering
by: Zong, Chang, et al.
Published: (2024)

Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow
by: Zhang, Wenqi, et al.
Published: (2023)

A Survey on (M)LLM-Based GUI Agents
by: Tang, Fei, et al.
Published: (2025)

Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning
by: Wang, Yinjie, et al.
Published: (2025)

Functional Consistency of LLM Code Embeddings: A Self-Evolving Data Synthesis Framework for Benchmarking
by: Li, Zhuohao, et al.
Published: (2025)

GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems in Visual Contexts
by: Yuan, Fan, et al.
Published: (2025)

Advancing Process Verification for Large Language Models via Tree-Based Preference Learning
by: He, Mingqian, et al.
Published: (2024)

CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution
by: Pan, Teng, et al.
Published: (2026)

InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
by: Yan, Yuchen, et al.
Published: (2025)

Agentic Code Optimization via Compiler-LLM Cooperation
by: Mikek, Benjamin, et al.
Published: (2026)

SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments
by: Li, Dinging, et al.
Published: (2026)

UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization
by: Lu, Zhengxi, et al.
Published: (2026)

AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification
by: Zhang, Xuan, et al.
Published: (2025)

Code Fingerprints: Disentangled Attribution of LLM-Generated Code
by: Guo, Jiaxun, et al.
Published: (2026)

Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM
by: Xia, Chunqiu Steven, et al.
Published: (2024)

TaskBench: Benchmarking Large Language Models for Task Automation
by: Shen, Yongliang, et al.
Published: (2023)

ViewSpatial-Bench: Evaluating Multi-perspective Spatial Localization in Vision-Language Models
by: Li, Dingming, et al.
Published: (2025)

Think Twice, Click Once: Enhancing GUI Grounding via Fast and Slow Systems
by: Tang, Fei, et al.
Published: (2025)

GenX: Mastering Code and Test Generation with Execution Feedback
by: Wang, Nan, et al.
Published: (2024)

MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task
by: Yan, Yuchen, et al.
Published: (2025)