Nos travaux s'appuient sur les recherches antérieures de nos membres en Grands Modèles de Langage pour le code et en Apprentissage par Renforcement, reflétant une expertise approfondie dans les milieux académiques et industriels.

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

2026

SEAlign: Alignment Training for Software Engineering Agent

Code Agent

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

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization

LLM

Iterative Utterance Segmentation for Neural Semantic Parsing

LLM

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

2019

Generating Fluent Adversarial Examples for Natural Languages

LLM