47 citations · 58 across the 5 of their papers we have counts for
6 papers
AdMem: Advanced Memory for Task-solving Agents
Runzhe Wang, Huilin Lu, Shengjie Liu +2
Large Language Models (LLMs) show promise as tool-using agents but remain limited in long-horizon tasks that require remembering, organizing, and reusing knowledge. Prior memory ap…
Insight Agents: An LLM-Based Multi-Agent System for Data Insights
Jincheng Bai, Zhenyu Zhang, Jennifer Zhang +1
Today, E-commerce sellers face several key challenges, including difficulties in discovering and effectively utilizing available programs and tools, and struggling to understand an…
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey
Jason Zhu, Hongyu Li
Large reasoning models (LRMs) like OpenAI o1 and DeepSeek R1 have demonstrated impressive performance on complex reasoning tasks like mathematics and programming with long Chain-of…
Data Depth and Core-based Trend Detection on Blockchain Transaction Networks
Jason Zhu, Arijit Khan, Cuneyt Gurcan Akcora
Blockchains are significantly easing trade finance, with billions of dollars worth of assets being transacted daily. However, analyzing these networks remains challenging due to th…
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search
Jason Yue Zhu, Yanling Cui, Yuming Liu +7
Text encoders based on C-DSSM or transformers have demonstrated strong performance in many Natural Language Processing (NLP) tasks. Low latency variants of these models have also b…
Deep Learning in Asset Pricing
Luyang Chen, Markus Pelger, Jason Zhu
We use deep neural networks to estimate an asset pricing model for individual stock returns that takes advantage of the vast amount of conditioning information, while keeping a ful…