Papers Code Generation
“Code Generation” 태그가 달린 논문 3,075편 · 필터 해제
The Alignment Problem in Constrained Code Generation
Large Language Models (LLMs) have demonstrated strong capabilities in code generation, but their outputs frequently contain syntax or type errors that result in compilation failures. Constrained decoding has been propose…
Code GenerationMulti-LCB: Extending LiveCodeBench to Multiple Programming Languages
LiveCodeBench (LCB) has recently become a widely adopted benchmark for evaluating large language models (LLMs) on code-generation tasks. By curating competitive programming problems, constantly adding fresh problems to t…
Code GenerationWhen Do Intrinsic Rewards Work for Code Reasoning? A Comprehensive Study
Reinforcement learning with verifiable rewards (RLVR) has driven substantial progress in large language model reasoning, but relies on ground-truth supervision that is costly or infeasible, especially in coding tasks. Re…
Reinforcement LearningMathematical ReasoningCode GenerationThe Substrate Collapse: AI Code Generation Invalidates Authorship-Based Knowledge Metrics
Software engineering has long inferred where a system's knowledge resides from who authored its code. The truck factor, the Degree-of-Authorship metric, and the degree-of-knowledge model all rest on one inference -- that…
Code GenerationGenerating Natural and Expressive Robot Gestures through Iterative Reinforcement Learning with Human Feedback using LLMs
Expressive gestures are essential for natural and effective communication, complementing speech when verbal cues alone are insufficient (e.g., pointing). For social robots such as the humanoid Pepper, producing natural a…
Reinforcement LearningGesture GenerationCode GenerationUnlocking LLM Code Correction with Iterative Feedback Loops
Large Language Models have shown remarkable capabilities in code generation. However, most existing evaluations focus only on single-attempt accuracy and overlook the iterative refinement process that is central to real-…
Code GenerationVideo2Code: Generating Interactive Webpages from UI Videos via Action-Aware Revisit
UI videos provide a natural input for generating interactive webpages, as they capture both webpage appearance and action-triggered state transitions. However, directly applying video-capable vision-language models to th…
Code GenerationVoidPadding: Let [VOID] Handle Padding in Masked Diffusion Language Models so that [EOS] Can Focus on Semantic Termination
MDLMs generate text by denoising a preallocated masked response canvas, making response-length modeling central to instruction tuning. Existing MDLMs often inherit the autoregressive convention of using repeated \texttt{…
Mathematical ReasoningCode GenerationLoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling
Looped Transformers scale latent computation by repeatedly applying shared blocks, but sequential looping increases latency and KV-cache memory with the loop count. Parallel loop Transformers (PLT) alleviate this cost th…
Code GenerationFrom Specification to Execution: AI Assisted Scientific Workflow Management
Scientific workflow management systems (WMS) support scalable and reproducible execution of complex pipelines, but workflow design, implementation, and debugging remain largely manual and require significant expertise. R…
Federated LearningCode GenerationActivating Latent Security Knowledge through LLM-Guided Risk Analysis for Secure Code Generation
Large language models are pretrained on extensive software and security corpora, yet they frequently generate functionally correct code containing well-known vulnerabilities. Existing defenses commonly treat this behavio…
Code GenerationREFLEX: Reflective Evolution from LLM Experience
Large multimodal language models (LLMs) have emerged as powerful tools for guiding evolutionary search toward interpretable programmatic policies. However, existing frameworks rely on a monolithic model call to simultane…
Code GenerationTriAdReview: Triangular Adversarial Review Architecture for Multi-Model Technical Document Generation
Large language models (LLMs) are increasingly used for technical document generation, yet single-model outputs often suffer from over-engineering, security blind spots, and incomplete coverage. We propose TriAdReview, a …
Code GenerationA Spatio-Temporal Expert Prefetching Framework for Efficient MoE-based LLM Inference
Mixture-of-Experts (MoE) based large language models (LLMs), such as Qwen and DeepSeek, have recently emerged as an effective approach to improving model capacity without proportionally increasing computational cost. By …
Code GenerationLLM4RTL: Tool-Assisted LLM for RTL Generation
Large language models (LLMs) have facilitated impressive progress in software engineering, code generation, tooling, and systems. Concurrently, a significant body of research has developed which explores a growing variet…
Code GenerationAdaptive Nucleus Truncation for Long-Form Reasoning
Sampling plays an important role in long-form language-model reasoning. Over thousands of decoding steps, small changes in the candidate token set can compound into different reasoning trajectories, stability profiles, a…
Mathematical ReasoningInstruction FollowingCode GenerationTowards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows
Large language models increasingly serve as execution engines for agentic systems, yet they still consume context through a sequential text interface. This creates a mismatch with modern structured agent workflows, in wh…
Code GenerationBeyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming
Despite strong performance in competitive programming, the role of Large Language Models (LLMs) in supporting human learning in the same setting remains largely unexplored. In this work, we introduce UOJ-Bench, a benchma…
Code GenerationCode RepairMDForge: Agentic Molecular Dynamics Pipeline Design under Sparse Simulator Feedback
Molecular dynamics (MD) is the canonical in-silico method for atomistic molecular science, simulating molecular behavior from first-principle physics. Designing an MD pipeline for a new system requires substantial expert…
Code GenerationReasoning for Mobile User Experience with Multimodal LLMs: Task, Benchmark, and Approach
User experience (UX) centered on usability, perceived consistency, and functional clarity is fundamental to real-world user interfaces (UI). The application of multimodal large language models (MLLMs) in the field of use…
Reinforcement LearningLogical ReasoningCode Generation