7 papers
SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation
Zhengbo Jiao, Yiming Cheng, Yilei Jiang +15
Training multimodal search agents to perform multi-hop reasoning remains challenging due to a fundamental structural disconnect: existing pipelines construct training data, search…
Depression Detection on Social Media with Large Language Models
Xiaochong Lan, Zhiguang Han, Yiming Cheng +4
Limited access to mental healthcare resources hinders timely depression diagnosis, leading to detrimental outcomes. Social media platforms present a valuable data source for early…
Deep Learning Based Concurrency Bug Detection and Localization
Zuocheng Feng, Kaiwen Zhang, Miaomiao Wang +4
Concurrency bugs, caused by improper synchronization of shared resources in multi-threaded or distributed systems, are notoriously hard to detect and thus compromise software relia…
Towards Analyzing and Understanding the Limitations of VAPO: A Theoretical Perspective
Jintian Shao, Yiming Cheng
Reinforcement learning (RL) enhances large language models (LLMs) in complex, long-chain-of-thought (long-CoT) reasoning. The advanced VAPO framework, despite sophisticated mechani…
CoT is Not True Reasoning, It Is Just a Tight Constraint to Imitate: A Theory Perspective
Jintian Shao, Yiming Cheng
Chain-of-Thought (CoT) prompting has demonstrably enhanced the performance of Large Language Models on tasks requiring multi-step inference. This success has led to widespread clai…
Towards Analyzing and Understanding the Limitations of VAPO: A Theoretical Perspective
Jintian Shao, Yiming Cheng, Hongyi Huang +4
The VAPO framework has demonstrated significant empirical success in enhancing the efficiency and reliability of reinforcement learning for long chain-of-thought (CoT) reasoning ta…