5 papers
Externalizing Research Synthesis and Validation in AI Scientists through a Research Harness
Zijian Wang, Hanqi Li, Ziyue Yang +17
AI systems can increasingly automate scientific workflows, but the reasoning that links prior evidence, generated ideas, experiments and final claims often remains implicit inside…
CodePercept: Code-Grounded Visual STEM Perception for MLLMs
Tongkun Guan, Zhibo Yang, Jianqiang Wan +10
When MLLMs fail at Science, Technology, Engineering, and Mathematics (STEM) visual reasoning, a fundamental question arises: is it due to perceptual deficiencies or reasoning limit…
DeepSurvey: Enhancing Analytical Depth and Citation Reliability in Automated Survey Generation
Ziyue Yang, Da Ma, Hanqi Li +8
As scientific literature grows rapidly, automated survey generation has become a key capability for AI scientists and human researchers. However, existing systems suffer from limit…
OAT-Rephrase: Optimization-Aware Training Data Rephrasing for Zeroth-Order LLM Fine-Tuning
Jikai Long, Zijian Hu, Xiaodong Yu +2
Fine-tuning large language models (LLMs) using zeroth-order optimization (ZO) offers a memory-efficient alternative to gradient-based methods but suffers from slower convergence an…
Fox-1: Open Small Language Model for Cloud and Edge
Zijian Hu, Jipeng Zhang, Rui Pan +9
We present Fox-1, a series of small language models (SLMs) consisting of Fox-1-1.6B and Fox-1-1.6B-Instruct-v0.1. These models are pre-trained on 3 trillion tokens of web-scraped d…