Nuestro trabajo se basa en la investigación previa de nuestros miembros en Modelos de Lenguaje Grandes para código y Aprendizaje por Refuerzo, lo que refleja una profunda experiencia en el ámbito académico e industrial.

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

Artículos

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