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 Nov 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 Nov 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 Nov 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 Nov 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 Nov 202421min
Jigsaw Puzzles
🧩 Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language ModelsThis research paper investigates the vulnerabilities of large language models (LLMs) to "jailbreak" attacks, where mali...
7 Nov 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 Nov 202412min
