Marco-o1
🤖 Marco-o1: Towards Open Reasoning Models for Open-Ended SolutionsThe Alibaba MarcoPolo team presents Marco-o1, a large reasoning model designed to excel in open-ended problem-solving. Building upon ...
23 Marras 202414min
Scaling Laws for Precision
⚖️ Scaling Laws for PrecisionThis research paper investigates the impact of precision in training and inference on the performance of large language models. The authors explore how precision affects t...
18 Marras 202418min
Test-Time Training
⌛️ The Surprising Effectiveness of Test-Time Training for Abstract ReasoningThis paper examines how test-time training (TTT) can enhance the abstract reasoning abilities of large language models (LLMs...
14 Marras 202414min
Qwen2.5-Coder
🔷 Qwen2.5-Coder Technical ReportThe report introduces the Qwen2.5-Coder series, which includes the Qwen2.5-Coder-1.5B and Qwen2.5-Coder-7B models. These models are specifically designed for coding ta...
12 Marras 202424min
Attacking Vision-Language Computer Agents via Pop-ups
😈 Attacking Vision-Language Computer Agents via Pop-upsThis research paper examines vulnerabilities in vision-language models (VLMs) that power autonomous agents performing computer tasks. The author...
9 Marras 202421min
Number Cookbook
📓 Number Cookbook: Number Understanding of Language Models and How to Improve ItThis research paper examines the numerical understanding and processing abilities (NUPA) of large language models (LLMs...
8 Marras 202416min
Multi-expert Prompting with LLMs
🤝 Multi-expert Prompting with LLMsThe research paper presents Multi-expert Prompting, a novel method for improving the reliability, safety, and usefulness of Large Language Models (LLMs). Multi-exper...
5 Marras 202412min
