Shengzhe Xu

According to our database, Shengzhe Xu authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

The Prompt is Mightier than the Example.

Shengzhe Xu, Nikhil Muralidhar, Naren Ramakrishnan

CoRR, May, 2025

When can isotropy help adapt LLMs' next word prediction to numerical domains?

Rashed Shelim, Shengzhe Xu, Walid Saad, Naren Ramakrishnan

CoRR, May, 2025

Optimizing Product Provenance Verification using Data Valuation Methods.

Raquib Bin Yousuf, Hoang Anh Just, Shengzhe Xu, Brian Mayer, Victor Deklerck, Jakub Truszkowski, John Simeone, Jade Saunders, Chang-Tien Lu, Ruoxi Jia, Naren Ramakrishnan

CoRR, February, 2025

Can an LLM Find Its Way Around a Spreadsheet?

Cho-Ting Lee, Andrew Neeser, Shengzhe Xu, Jay Katyan, Patrick Cross, Sharanya Pathakota, Marigold Norman, John Simeone, Jaganmohan Chandrasekaran, Naren Ramakrishnan

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Wireless Knowledge Grounding in Smaller Llms Using Retrieval Augmented Generation and Fine-Tuning.

Andrew Neeser, Christo Kurisummoottil Thomas, Shengzhe Xu, Naren Ramakrishnan, Walid Saad

Proceedings of the IEEE International Conference on Communications, 2025

Enhancing Cryptocurrency Trading Strategies: A Deep Reinforcement Learning Approach Integrating Multi-Source LLM Sentiment Analysis.

Nanjiang Du, Yida Zhao, Jintao Wang, Yicheng Zhu, Siyu Xie, Luyao Yang, Yiru Tong, Shengzhe Xu, Wangying Zhang, Zecheng Tang, Kai Xu, Jianfeng Ren, Tianxiang Cui

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2025

2024

Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems.

Shengzhe Xu, Christo Kurisummoottil Thomas, Omar Hashash, Nikhil Muralidhar, Walid Saad, Naren Ramakrishnan

IEEE Netw., September, 2024

Are LLMs Naturally Good at Synthetic Tabular Data Generation?

Shengzhe Xu, Cho-Ting Lee, Mandar Sharma, Raquib Bin Yousuf, Nikhil Muralidhar, Naren Ramakrishnan

CoRR, 2024

Information Guided Regularization for Fine-tuning Language Models.

Mandar Sharma, Nikhil Muralidhar, Shengzhe Xu, Raquib Bin Yousuf, Naren Ramakrishnan

CoRR, 2024

Forecasting Migration Patterns and Land Border Encounters.

Raquib Bin Yousuf, Shengzhe Xu, Patrick Butler, Brian Mayer, Nathan Self, David Mares, Naren Ramakrishnan

Proceedings of the IEEE International Conference on Big Data, 2024

LLM Augmentations to support Analytical Reasoning over Multiple Documents.

Raquib Bin Yousuf, Nicholas Defelice, Mandar Sharma, Shengzhe Xu, Naren Ramakrishnan

Proceedings of the IEEE International Conference on Big Data, 2024

2023

ML-Assisted Optimization of Securities Lending.

Abhinav Prasad, Prakash Arunachalam, Ali Motamedi, Ranjeeta Bhattacharya, Beibei Liu, Hays McCormick, Shengzhe Xu, Nikhil Muralidhar, Naren Ramakrishnan

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2020

STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models.

Shengzhe Xu, Manish Marwah, Naren Ramakrishnan

CoRR, 2020

2019

Meditor: inference and application of API migration edits.

Shengzhe Xu, Ziqi Dong, Na Meng

Proceedings of the 27th International Conference on Program Comprehension, 2019