9 papers
AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery
Yu Li, Chenyang Shao, Xinyang Liu +13
Artificial intelligence research increasingly depends on prolonged cycles of reproduction, debugging, and iterative refinement to achieve State-Of-The-Art (SOTA) performance, creat…
LiveFigure: Generating Editable Scientific Illustration with VLM Agents
Chenyang Shao, Jiahe Liu, Fengli Xu +1
Scientific illustrations are essential for depicting conceptual designs, methodologies, and experimental workflows in research, playing a pivotal role in communicating complex acad…
SciNet: Evaluating AI Agents in Relation-Aware Scientific Literature Retrieval
Chenyang Shao, Fengli Xu, Yong Li
AI agents have seen widespread adoption in information retrieval for scientific research, giving rise to tools such as Deep Research. However, existing retrieval agents mainly rely…
Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router
Chenyang Shao, Xinyang Liu, Yutang Lin +2
Chain-of-thought has been proven essential for enhancing the complex reasoning abilities of Large Language Models (LLMs), but it also leads to high computational costs. Recent adva…
Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning
Chenyang Shao, Sijian Ren, Fengli Xu +1
In recent years, large language models (LLMs) have witnessed remarkable advancements, with the test-time scaling law consistently enhancing the reasoning capabilities. Through syst…
Simulating Generative Social Agents via Theory-Informed Workflow Design
Yuwei Yan, Jinghua Piao, Xiaochong Lan +3
Recent advances in large language models have demonstrated strong reasoning and role-playing capabilities, opening new opportunities for agent-based social simulations. However, mo…