NeurIPS 2025 Past Other
NeurIPS 2025 Fourth Workshop on Deep Learning for Code
DL4C @ NeurIPS 2025
- Submission deadline
- Aug 28, 2025, 20:00 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 (69)
Fetched from OpenReview (v2) on 2026-06-10.
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A Matter of Representation: Towards Graph-Based Abstract Code Generation
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A Note on the Code Quality Score System: LLMs for Maintainable Large Codebases
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Adapting Language Models for Low-Resource Programming Languages
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Advancing Environment Setup LLMs through Online Reinforcement Learning
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Agentic Property-Based Testing: Finding Bugs Across the Python Ecosystem
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Agint: Agentic Graph Compilation for Software Engineering Agents
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Asm2SrcEval: Evaluating Large Language Models for Assembly to Source Code Translation
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Astra: A Multi-Agent System for GPU Kernel Performance Optimization
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Beyond Accuracy: Realistic and Diagnostic Evaluation of Code Generation Models
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BUILD-BENCH: Benchmarking LLM Agents on Compiling Real-World Open-Source Software
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Can Test-Time Compute Help LLMs Write Low-Resource Parallel Code Better?
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ChopChop: Semantically Constraining the Code Output of Language Models
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Code2Video: A Code-centric Paradigm for Educational Video Generation
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CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis
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CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback
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CodeMirage: A Multi-Lingual Benchmark for Detecting AI-Generated and Paraphrased Source Code from Production-Level LLMs
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CoDyn: Dynamic LLM Routing for Coding Tasks
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Constrained Decoding of Diffusion LLMs with Context-Free Grammars
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Cyber-Zero: Training Cybersecurity Agents without Runtime
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Deep-Reproducer: From Paper Understanding to Code Generation
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Demystify the Potential of Large Language Models as General-Purpose Surrogate Code Executors
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Diff-XYZ: A Benchmark for Evaluating Diff Understanding
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DuoLens: A Framework for Robust Detection of Machine-Generated Multilingual Text and Code
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Efficient Code Embeddings from Code Generation Models
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Ensuring Functional Correctness of Large Code Models with Selective Generation
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EquiBench: Benchmarking Large Language Models’ Understanding of Program Semantics via Equivalence Checking
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FreshBrew: A Benchmark for Evaluating AI Agents on Java Code Migration
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GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities
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Good-Enough Structured Generation: A Case Study on JSON Schema
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HardTests: Synthesizing High-Quality Test Cases for LLM Coding
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HarnessLLM: Automatic Testing Harness Generation via Reinforcement Learning
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Improving Assembly Code Performance with Large Language Models via Reinforcement Learning
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Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces
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In-Context Learning for Esoteric Programming Languages: Evaluating and Enhancing LLM Reasoning Without Fine-Tuning
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Increasing LLM Coding Capabilities through Diverse Synthetic Coding Tasks
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Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks
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Is Your Benchmark Still Useful? Dynamic Benchmarking for Code Language Models
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Learning From Design Procedure To Generate CAD Programs for Data Augmentation
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Learning to Solve and Verify: A Self-Play Framework for Mutually Improving Code and Test Generation
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LLM-Driven Multi-step Translation from C to Rust using Static Analysis
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LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
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MOSAIC: Multi-agent Orchestration for Task-Intelligent Scientific Coding
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Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
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Practical Code RAG at Scale: Task-Aware Retrieval Design Choices under Compute Budgets
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pydra: Probing Code Representations With Synthetic Clones and Bugs
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R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents
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Random Baselines for Simple Code Problems are Competitive with Code Evolution
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Refactoring Codebases through Library Design
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RocqStar: Leveraging Similarity-driven Retrieval and Agentic Systems for Rocq generation
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SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas
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Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models
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Schema Lineage Extraction at Scale: Multilingual Pipelines, Composite Evaluation, and Language-Model Benchmarks
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Security Knowledge Dilution in Large Language Models: How Irrelevant Context Degrades Critical Domain Expertise
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SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
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SQL-of-Thought: Multi-agentic Text-to-SQL with Guided Error Correction
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STACKFEED: Structured Textual Actor-Critic Knowledge base editing with FEEDback
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SubtaskEval: Benchmarking LLMs on Competitive Programming Subtasks
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SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development
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SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories?
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SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
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The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management
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The Valley of Code Reasoning: Scaling Knowledge Distillation of Large Language Models
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Thyme: Think Beyond Images
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Training Language Model Agents to Find Vulnerabilities with CTF-Dojo
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Training LLM Agents to Empower Humans
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Understanding Secret Leakage Risks in Code LLMs: A Tokenization Perspective
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VeriCoder: Enhancing LLM-Based RTL Code Generation through Functional Correctness Validation
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Where's the Bug? Attention Probing for Scalable Fault Localization
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Workflows vs Agents for Code Translation