4 citations · 4 across the 6 of their papers we have counts for
6 papers
ToC: Tree-of-Claims Search with Multi-Agent Language Models
Shuyang Yu, Jianan Liang, Hui Hu
Optimizing patent claims is a critical yet challenging task, demanding careful balance between maximizing novelty and preserving legal scope. Manual claim drafting is labor-intensi…
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs
Shuyang Yu, Runxue Bao, Parminder Bhatia +3
Large language models (LLMs) can learn vast amounts of knowledge from diverse domains during pre-training. However, long-tail knowledge from specialized domains is often scarce and…
Towards Stability of Parameter-Free Optimization
Yijiang Pang, Shuyang Yu, Bao Hoang +1
Hyperparameter tuning, particularly the selection of an appropriate learning rate in adaptive gradient training methods, remains a challenge. To address this challenge, we propose…
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning
Shuyang Yu, Junyuan Hong, Yi Zeng +3
Federated learning (FL) emerges as an effective collaborative learning framework to coordinate data and computation resources from massive and distributed clients in training. Such…
Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications
Serafina Kamp, Morteza Fayazi, Zineb Benameur-El +2
With the abundant amount of available online and offline text data, there arises a crucial need to extract the relation between phrases and summarize the main content of each docum…
Safe and Robust Watermark Injection with a Single OoD Image
Shuyang Yu, Junyuan Hong, Haobo Zhang +3
Training a high-performance deep neural network requires large amounts of data and computational resources. Protecting the intellectual property (IP) and commercial ownership of a…