1 citations · 3 across the 6 of their papers we have counts for
6 papers
When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
Leheng Sheng, Yongtao Zhang, Wenchang Ma +6
While reasoning over long context is crucial for various real-world applications, it remains challenging for large language models (LLMs) as they suffer from performance degradatio…
Analysis of Collaboration in CS Prizewinning with a Nobel-Turing Comparison
Boleslaw K. Szymanski, Yongtao Zhang, Brian Uzzi +1
In the scientific community, prizes play a pivotal role in shaping research trajectories by conferring credibility and offering financial incentives to researchers. Yet, we know li…
Virtual Width Networks
Seed, Baisheng Li, Banggu Wu +115
We introduce Virtual Width Networks (VWN), a framework that delivers the benefits of wider representations without incurring the quadratic cost of increasing the hidden size. VWN d…
Structure-Attribute Transformations with Markov Chain Boost Graph Domain Adaptation
Zhen Liu, Yongtao Zhang, Shaobo Ren +1
Graph domain adaptation has gained significant attention in label-scarce scenarios across different graph domains. Traditional approaches to graph domain adaptation primarily focus…
Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning
ByteDance Seed, :, Jiaze Chen +267
We introduce Seed1.5-Thinking, capable of reasoning through thinking before responding, resulting in improved performance on a wide range of benchmarks. Seed1.5-Thinking achieves 8…
Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining
Yuxin You, Zhen Liu, Xiangchao Wen +2
Graph mining is an important area in data mining and machine learning that involves extracting valuable information from graph-structured data. In recent years, significant progres…