Compass-v3: Scaling Domain-Specific LLMs for Multilingual E-Commerce in Southeast Asia
cs.CL
Submitted: 2025-09-11
Updated: 2026-09-16
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- GPT-4 Technical Report
- Evaluating Large Language Models Trained on Code
- Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
- Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization
- Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy
- QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining
- RegMix: Data Mixture as Regression for Language Model Pre-training
- Compass-V2 Technical Report
- A survey on fairness of large language models in e-commerce: progress, application, and challenge
- LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following
- Llama 2: Open Foundation and Fine-Tuned Chat Models
- HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages
- BloombergGPT: A Large Language Model for Finance
- ST-MoE: Designing Stable and Transferable Sparse Expert Models
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