1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2024
Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems
Nikhil Khani, Shuo Yang, Aniruddh Nath +9
Knowledge Distillation (KD) is a powerful approach for compressing a large model into a smaller, more efficient model, particularly beneficial for latency-sensitive applications li…
cs.CL2024
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages
Yuanchi Zhang, Yile Wang, Zijun Liu +5
While large language models (LLMs) have been pre-trained on multilingual corpora, their performance still lags behind in most languages compared to a few resource-rich languages. O…
cs.CR2014★ 1 cited
Stateful Security Protocol Verification
Li Li, Jun Pang, Yang Liu +2
A long-standing research problem in security protocol design is how to efficiently verify security protocols with tamper-resistant global states. In this paper, we address this pro…