Cover Image

Bridge-Coder: Unlocking LLMs' Potential to Overcome Language Gaps in Low-Resource Code

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jipeng, Zhang, Jianshu, Li, Yuanzhe, Pi, Renjie, Pan, Rui, Liu, Runtao, Zheng, Ziqiang, Zhang, Tong
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization
by: Pi, Renjie, et al.
Published: (2024)

VL-GenRM: Enhancing Vision-Language Verification via Vision Experts and Iterative Training
by: Zhang, Jipeng, et al.
Published: (2025)

Image Textualization: An Automatic Framework for Creating Accurate and Detailed Image Descriptions
by: Pi, Renjie, et al.
Published: (2024)

TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts
by: Wang, Ruida, et al.
Published: (2024)

TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data
by: Zhang, Jipeng, et al.
Published: (2024)

LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
by: Pan, Rui, et al.
Published: (2024)

MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance
by: Pi, Renjie, et al.
Published: (2024)

Personalized Visual Instruction Tuning
by: Pi, Renjie, et al.
Published: (2024)

Adapt-Pruner: Adaptive Structural Pruning for Efficient Small Language Model Training
by: Pan, Rui, et al.
Published: (2025)

The Instinctive Bias: Spurious Images lead to Illusion in MLLMs
by: Han, Tianyang, et al.
Published: (2024)

Unlocking the Potential of Model Merging for Low-Resource Languages
by: Tao, Mingxu, et al.
Published: (2024)

MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving
by: Wang, Ruida, et al.
Published: (2025)

Effective Bilevel Optimization via Minimax Reformulation
by: Wang, Xiaoyu, et al.
Published: (2023)

Pointing to a Llama and Call it a Camel: On the Sycophancy of Multimodal Large Language Models
by: Pi, Renjie, et al.
Published: (2025)

VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues
by: Zhang, Jianshu, et al.
Published: (2025)

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
by: Huang, Siming, et al.
Published: (2024)

SecCoder: Towards Generalizable and Robust Secure Code Generation
by: Zhang, Boyu, et al.
Published: (2024)

InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
by: Wu, Yutong, et al.
Published: (2024)

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects
by: Zhang, Jipeng, et al.
Published: (2025)

LongVideoAgent: Multi-Agent Reasoning with Long Videos
by: Liu, Runtao, et al.
Published: (2025)

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
by: Gong, Shansan, et al.
Published: (2025)

Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation
by: Su, Tong, et al.
Published: (2024)

AutoVecCoder: Teaching LLMs to Generate Explicitly Vectorized Code
by: Li, Shangzhan, et al.
Published: (2026)

Bridging the Preference Gap between Retrievers and LLMs
by: Ke, Zixuan, et al.
Published: (2024)

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
by: Feng, Huawen, et al.
Published: (2024)

MaintainCoder: Maintainable Code Generation Under Dynamic Requirements
by: Wang, Zhengren, et al.
Published: (2025)

SaraCoder: Orchestrating Semantic and Structural Cues for Resource-Optimized Repository-Level Code Completion
by: Chen, Xiaohan, et al.
Published: (2025)

Read it in Two Steps: Translating Extremely Low-Resource Languages with Code-Augmented Grammar Books
by: Zhang, Chen, et al.
Published: (2025)

Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
by: Yuan, Yu, et al.
Published: (2024)

Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models
by: Chen, Jiaao, et al.
Published: (2023)

UniCoder: Scaling Code Large Language Model via Universal Code
by: Sun, Tao, et al.
Published: (2024)

Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap
by: Yang, Guanrou, et al.
Published: (2024)

Bridging Gaps in Hate Speech Detection: Meta-Collections and Benchmarks for Low-Resource Iberian Languages
by: Piot, Paloma, et al.
Published: (2025)

TigerCoder: A Novel Suite of LLMs for Code Generation in Bangla
by: Raihan, Nishat, et al.
Published: (2025)

FairCoder: Evaluating Social Bias of LLMs in Code Generation
by: Du, Yongkang, et al.
Published: (2025)

MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning
by: Wang, Ke, et al.
Published: (2025)

Dream-Coder 7B: An Open Diffusion Language Model for Code
by: Xie, Zhihui, et al.
Published: (2025)

Toward Robust Multilingual Adaptation of LLMs for Low-Resource Languages
by: Li, Haolin, et al.
Published: (2025)

Unlocking LLM Safeguards for Low-Resource Languages via Reasoning and Alignment with Minimal Training Data
by: Chen, Zhuowei, et al.
Published: (2025)

VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
by: Liu, Runtao, et al.
Published: (2024)