Recherche
Notre travail s'appuie sur les recherches antérieures de nos membres sur les grands modèles de langage pour le code et l'apprentissage par renforcement, reflétant une expertise approfondie tant dans le monde académique qu'industriel.
Code LLM
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
2020
Code LLM
Seed-Coder: Let the Code Model Curate Data for Itself
2025
Articles
2025
FullStack Bench: Evaluating LLMs as Full Stack Coders
Code LLM benchmark
Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
Code LLM benchmark
Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning
LLM
Seed-Coder: Let the Code Model Curate Data for Itself
Code LLM
Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs
LLM
LLM-Powered Test Case Generation for Detecting Tricky Bugs
Code LLM
Focused-dpo: Enhancing code generation through focused preference optimization on error-prone points
Code Post-training
CodeDPO: Aligning Code Models with Self Generated and Verified Source Code
Code Post-training
SEAlign: Alignment training for software engineering agent
Code Agent
2024
Deep learning for code generation: a survey
Code LLM
Poison Attack and Poison Detection on Deep Source Code Processing Models
Code LLM
Selene: Pioneering Automated Proof in Software Verification
Code LLM
TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs
Code LLM benchmark
HITS: High-coverage LLM-based Unit Test Generation via Method Slicing
Code LLM
Codeagent: Enhancing code generation with tool-integrated agent systems for real-world repo-level coding challenges
Code Agent
HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position
Code LLM
2023
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond
LLM benchmark
Retrieval-generation synergy augmented large language models
LLM
Improved Visual Story Generation with Adaptive Context Modeling
LLM
Who Judges the Judge: An Empirical Study on Online Judge Tests
Code LLM
Self-edit: Fault-aware code editor for code generation
Code Agent
2022
Toolcoder: Teach code generation models to use api search tools
Code Agent
Towards Robustness of Deep Program Processing Models—Detection, Estimation, and Enhancement
Code LLM
Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words
Foundation Model
One model, multiple modalities: A sparsely activated approach for text, sound, image, video and code
Foundation Model
2021
2020
Hierarchical Poset Decoding for Compositional Generalization in Language
LLM
Fact-aware Sentence Split and Rephrase with Permutation Invariant Training
LLM
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models
Code LLM
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Code LLM
Learning to represent programs with heterogeneous graphs
Code LLM
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