Code Generation

31개 벤치마크 · 논문 3,075편 · 이 태스크의 논문 보기 →

Benchmarks

Verified Smart Contract Code Comments

결과 2개

Most implemented

LLaMA: Open and Efficient Foundation Language Models

2023-02-27 · 구현 57개

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

2016-04-11 · 구현 42개

Llama 2: Open Foundation and Fine-Tuned Chat Models

2023-07-18 · 구현 19개

Evaluating Large Language Models Trained on Code

2021-07-07 · 구현 13개

pix2code: Generating Code from a Graphical User Interface Screenshot

2017-05-22 · 구현 11개

Papers

Rethinking Cross-Tokenizer On-Policy Distillation: From Alignment Coverage to Supervision Reliability

2026-10-06 · Bingxi Hou, Guochao Jiang, Guofeng Quan, Weiqing Li 외 hf

On-Policy Distillation (OPD) trains a student on its own generations using teacher feedback. With different tokenizers, comparing teacher and student predictions requires alignment at both sequence and vocabulary levels.…

Mathematical Reasoning Code Generation

Questioning the Questions: Sustaining Self-Evolution in Reasoning Models

2026-10-03 · Jinyuan Li, Chengsong Huang, Langlin Huang, Donghong Cai 외 hf

Self-evolving reasoning models learn from their own generated questions, yet repeated self-training can lead to performance collapse. In this paper, we investigate why performance deteriorates over successive rounds and …

Mathematical Reasoning Code Generation

4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes

2026-10-02 · Ruihong Shen, Žiga Kovačič, Peter Kulits, Xingrui Wang 외 hf

We introduce 4DCodeBench, a benchmark for 4D inverse graphics through code generation, in which agents reconstruct dynamic scenes from video as executable graphics programs. To accomplish this, agents must translate visu…

Physical Simulations Code Generation

CARM: Cancellation-Aware Response Masking for LLM Reinforcement Learning

2026-10-01 · Yafei Zhang, Songshuo Lu, Sicong Liao, Zhi Chen 외 arxiv

Recent years have witnessed the rapid adoption of reinforcement learning (RL) in large language model (LLM) post-training, with substantial gains in mathematical reasoning and code generation. In practical systems, howev…

Mathematical Reasoning Reinforcement Learning Code Generation

Smaller Models, Better Rejects: Preference Distillation Scaling

2026-09-30 · Rui Cai, Wenhui Zhu, Xiwen Chen, Jincheng Cao 외 hf

Preference distillation typically treats a teacher response as preferred and the student's own response as rejected. This assumes that self-generated failures are the most informative negatives and that rejects must come…

Knowledge Distillation Mathematical Reasoning Code Generation

QuantCode Model: Specializing Language Models for Executable Algorithmic Trading Code

2026-09-30 · Alexey Chernysh, Orkhan Ekhtibarov, Dmitry Zmitrovich hf

Large language models are strong general-purpose code generators, but executable algorithmic trading remains a demanding specialization target: a model must translate a natural-language strategy specification into correc…

Instruction Following Code Generation

전체 3,075편 보기 →