NEURIPS 2025 "code generation" Papers
14 papers found
CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward
Yandong Guan, Xilin Wang, XiMing Xing et al.
NEURIPS 2025posterarXiv:2505.19713
9
citations
CURE: Co-Evolving Coders and Unit Testers via Reinforcement Learning
Yinjie Wang, Ling Yang, Ye Tian et al.
NEURIPS 2025spotlight
Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations
Marton Havasi, Brian Karrer, Itai Gat et al.
NEURIPS 2025poster
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim et al.
NEURIPS 2025spotlightarXiv:2505.20355
1
citations
Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning
Yiju Guo, Wenkai Yang, Zexu Sun et al.
NEURIPS 2025posterarXiv:2506.07851
3
citations
Learning to Solve Complex Problems via Dataset Decomposition
Wanru Zhao, Lucas Page-Caccia, Zhengyan Shi et al.
NEURIPS 2025poster
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
Yuanzhe Liu, Ryan Deng, Tim Kaler et al.
NEURIPS 2025posterarXiv:2505.23946
Lookahead Routing for Large Language Models
Canbin Huang, Tianyuan Shi, Yuhua Zhu et al.
NEURIPS 2025posterarXiv:2510.19506
Mixture of Inputs: Text Generation Beyond Discrete Token Sampling
Yufan Zhuang, Liyuan Liu, Chandan Singh et al.
NEURIPS 2025poster
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
Haoyang Fang, Boran Han, Nick Erickson et al.
NEURIPS 2025posterarXiv:2505.13941
7
citations
ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints
Rui Xu, Dakuan Lu, Zicheng Zhao et al.
NEURIPS 2025spotlightarXiv:2511.18450
2
citations
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models
Zemin Huang, Zhiyang Chen, Zijun Wang et al.
NEURIPS 2025posterarXiv:2505.10446
28
citations
Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
Sanghyun Ahn, Wonje Choi, Junyong Lee et al.
NEURIPS 2025spotlightarXiv:2510.21302
2
citations
Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation
Jinyang Li, Jack Williams, Nick McKenna et al.
NEURIPS 2025poster