4 papers
Structured and Fast Optimization: The Kronecker SGD Algorithm
Zhao Song, Song Yue
Stochastic gradient descent (SGD) now acts as a fundamental part of optimization in current machine learning. Meanwhile, deep learning architectures have shown outstanding performa…
Which Coauthor Should I Nominate in My 99 ICLR Submissions? A Mathematical Analysis of the ICLR 2026 Reciprocal Reviewer Nomination Policy
Zhao Song, Song Yue, Jiahao Zhang
The rapid growth of AI conference submissions has created an overwhelming reviewing burden. To alleviate this, recent venues such as ICLR 2026 introduced a reviewer nomination poli…
Evaluating Frontier LLMs on PhD-Level Mathematical Reasoning: A Benchmark on a Textbook in Theoretical Computer Science about Randomized Algorithms
Yang Cao, Yubin Chen, Xuyang Guo +4
The rapid advancement of large language models (LLMs) has led to significant breakthroughs in automated mathematical reasoning and scientific discovery. Georgiev, Gmez-Serran…
Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations
Zhao Song, Song Yue, Jiahao Zhang
Large Reasoning Models (LRMs) have become a central focus in today's large language model (LLM) research, where models are designed to output a step-by-step thinking process before…