ICLR 2025 Past Other

ICLR 2025 Third Workshop on Deep Learning for Code

DL4C @ ICLR 2025

Submission deadline
Feb 13, 2025, 11:59 UTC
imported from OpenReview — check the website for extensions
Submission portal
OpenReview
Notes
Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).

Accepted papers (46)

Fetched from OpenReview (v2) on 2026-06-10.

  1. Adaptive Self-improvement LLM Agentic System for ML Library Development

    Genghan Zhang, Weixin Liang, Olivia Hsu, Kunle Olukotun · PDF
  2. Arctic-SnowCoder: Demystifying High-Quality Data in Code Pretraining

    Yuxiang Wei, Hojae Han, Rajhans Samdani · PDF
  3. AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

    Ziming Li, Qianbo Zang, David Ma, Jiawei Guo, Tianyu Zheng, Minghao Liu, Xinyao Niu, Yue Wang, Jian Yang, Jiaheng Liu, Wanjun Zhong, Wangchunshu Zhou, Stephen Huang, Ge Zhang · PDF
  4. Automated Benchmark Generation for Repository-Level Coding Tasks

    Konstantinos Vergopoulos, Mark Niklas Mueller, Martin Vechev · PDF
  5. BaxBench: Can LLMs Generate Correct and Secure Backends?

    Mark Vero, Niels Mündler, Victor Chibotaru, Veselin Raychev, Maximilian Baader, Nikola Jovanović, Jingxuan He, Martin Vechev · PDF
  6. Black-Box Adversarial Attacks on LLM-Based Code Completion

    Slobodan Jenko, Niels Mündler, Jingxuan He, Mark Vero, Martin Vechev · PDF
  7. CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification

    Jiacheng Xu, Bo Pang, Jin Qu, Hiroaki Hayashi, Caiming Xiong, Yingbo Zhou · PDF
  8. Code2JSON: Can a Zero-Shot LLM Extract Code Features for Code RAG?

    Aryan Singhal, Rajat Ghosh, Ria Mundra, Harshil Dadlani, Debojyoti Dutta · PDF
  9. CodeEditorBench: Evaluating Code Editing Capability of LLMs

    Jiawei Guo, Ziming Li, Xueling Liu, Kaijing Ma, Tianyu Zheng, Zhouliang Yu, Ding Pan, Yizhi LI, Ruibo Liu, Yue Wang, Shuyue Guo, Xingwei Qu, Xiang Yue, Ge Zhang, Wenhu Chen, Jie Fu · PDF
  10. CodeTransEngine: Ready-to-use Backend for LLM-based Code Translation

    Marcos Macedo, Yuan Tian, Bram Adams · PDF
  11. Contextual Augmented Multi-Model Programming (CAMP): A Local-Cloud Copilot Solution

    Yuchen Wang, Shangxin Guo, Chee Wei Tan · PDF
  12. Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning

    Lynn Cherif, Flemming Kondrup, David Venuto, Ankit Anand, Doina Precup, Khimya Khetarpal · PDF
  13. Diagnosing Robotics Systems Issues with Large Language Models – A Case Study

    Jordis Emilia Herrmann, Aswath Mandakath Gopinath, Mikael Norrlof, Mark Niklas Mueller · PDF
  14. DISC: Dynamic Decomposition Improves LLM Inference Scaling

    Jonathan Light, Wei Cheng, Yue Wu, Masafumi Oyamada, Mengdi Wang, Santiago Paternain, Haifeng Chen · PDF
  15. Do LLMs Understand Code Preference? Training Code Preference Models via Synthetic Code Evolution

    Jiawei Liu, Thanh V Nguyen, Mingyue Shang, Hantian Ding, Xiaopeng Li, Yu Yu, Varun Kumar, Zijian Wang · PDF
  16. EnvBench: A Benchmark for Automated Environment Setup

    Aleksandra Eliseeva, Alexander Kovrigin, Ilia Kholkin, Egor Bogomolov, Yaroslav Zharov · PDF
  17. Evaluating the Diversity and Quality of LLM Generated Content

    Alexander Shypula, Shuo Li, Botong Zhang, Vishakh Padmakumar, Kayo Yin, Osbert Bastani · PDF
  18. Evolving RL: Discovering New Activation Functions using LLMs

    Kalyan Varma Nadimpalli, Shashank Reddy Chirra, Pradeep Varakantham, Stefan Bauer · PDF
  19. Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models

    Wenqi Pei, Hailing Xu, Henry Hengyuan Zhao, CHEN Han, Zining Zhang, Shizheng Hou, Luo Pingyi, Bingsheng He · PDF
  20. From Pseudo-Code to Source Code: A Self-Supervised Search Approach

    Adithya Kulkarni, Mohna Chakraborty, Yonas Afewerki Sium, Sai Charishma Valluri, Wei Le, Qi Li · PDF
  21. GenePrune : Automated Pruning of Large Language Models for Code using Genetic Algorithm

    Nikhil Reddy Varimalla, Ruturaj Godse · PDF
  22. Generate-Feedback-Refine: How Much Does Model Quality in Each Role Matter?

    Xiang Pan, Jason Phang, Guy Davidson, Ethan Perez · PDF
  23. Generating Code to Verify Cryptic Crossword Reasoning

    Martin Andrews, Sam Witteveen · PDF
  24. GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code

    Samidha Verma, Arushi Goyal, Ananya Mathur, Ankit Anand, Sayan Ranu · PDF
  25. Improving Automated Issue Resolution via Comprehensive Repository Exploration

    YINGWEI MA, Yue Liu · PDF
  26. InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation

    Marcos Macedo, Yuan Tian, Pengyu Nie, Filipe R. Cogo, Bram Adams · PDF
  27. KernelBench: Can LLMs Write Efficient GPU Kernels?

    Anne Ouyang, Simon Guo, Simran Arora, Alex L Zhang, William Hu, Christopher Re, Azalia Mirhoseini · PDF
  28. LLM Program Optimization via Retrieval Augmented Search

    Sagnik Anupam, Alexander Shypula, Osbert Bastani · PDF
  29. LoRACode: LoRA Adapters for Code Embeddings

    Saumya Chaturvedi, Aman Chadha, Laurent Bindschaedler · PDF
  30. ML-BENCH: EVALUATING LARGE LANGUAGE MODELS AND AGENTS FOR MACHINE LEARNING TASKS ON REPOSITORY-LEVEL CODE

    Xiangru Tang, Yuliang Liu, Zefan Cai, Yanjun Shao, Junjie Lu, Yichi Zhang, Zexuan Deng, Helan Hu, Kaikai An, Ruijun Huang, Shuzheng Si, Chen Sheng, Haozhe Zhao, Liang Chen, Tianyu Liu, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Zhiwei Jiang, Baobao Chang, Arman Cohan, Mark Gerstein · PDF
  31. ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows

    Harshith Padigela, Chintan Shah, Dinkar Juyal · PDF
  32. NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits

    Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan · PDF
  33. On Pretraining For Project-Level Code Completion

    Maksim Sapronov, Evgeniy Glukhov · PDF
  34. One Model to Train Them All: Hierarchical Self-Distillation for Enhanced Early Layer Embeddings

    Andrea Gurioli, Federico Pennino, Joao Monteiro, Maurizio Gabbrielli · PDF
  35. Parameter-Efficient Instruction Tuning Code Large Language Models: An Empirical Study

    Terry Yue Zhuo, Armel Randy Zebaze, Leandro Von Werra, Harm de Vries, Qian Liu, Niklas Muennighoff · PDF
  36. Programming with Pixels: Towards Generalist Software Engineering Agents

    Pranjal Aggarwal, Sean Welleck · PDF
  37. Shedding Light on Task Decomposition in Program Synthesis: The Driving Force of the Synthesizer Model

    Janis Zenkner, Tobias Sesterhenn, Christian Bartelt · PDF
  38. SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

    Chengxing Xie, Bowen Li, Chang Gao, He Du, Wai Lam, Difan Zou, Kai Chen · PDF
  39. Tasks, Challenges, and Paths Towards AI for Software Engineering

    Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Kevin Ellis, Koushik Sen, Armando Solar-Lezama · PDF
  40. Teaching Language Models to Critique via Reinforcement Learning

    Zhihui Xie, Jie chen, Liyu Chen, Weichao Mao, Jingjing Xu, Lingpeng Kong · PDF
  41. Themisto: Jupyter-Based Runtime Benchmark

    Konstantin Grotov, Sergey Titov · PDF
  42. Toward Trustworthy Neural Program Synthesis

    Wen-Ding Li, Darren Yan Key, Kevin Ellis · PDF
  43. Training Software Engineering Agents and Verifiers with SWE-Gym

    Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, Yizhe Zhang · PDF
  44. Type-Constrained Code Generation with Language Models

    Niels Mündler, Jingxuan He, Hao Wang, Koushik Sen, Dawn Song, Martin Vechev · PDF
  45. TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories

    Yuhe Jiang, Xun Deng, Jiacheng Yang, Honghua Dong, Gennady Pekhimenko, Fan Long, Xujie Si · PDF
  46. WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation

    Rabiul Awal, Mahsa Massoud, Zichao Li, Aarash Feizi, Suyuchen Wang, Christopher Pal, Aishwarya Agrawal, David Vazquez, Siva Reddy, Juan A. Rodriguez, Perouz Taslakian, Spandana Gella, Sai Rajeswar · PDF