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2020 – today
- 2025
[c7]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:
Enhancing Cryptocurrency Trading Strategies: A Deep Reinforcement Learning Approach Integrating Multi-Source LLM Sentiment Analysis. CIFEr 2025: 1-7- [c6]Andrew Neeser, Christo Kurisummoottil Thomas, Shengzhe Xu, Naren Ramakrishnan, Walid Saad:
Wireless Knowledge Grounding in Smaller Llms Using Retrieval Augmented Generation and Fine-Tuning. ICC 2025: 1572-1577 - [c5]Cho-Ting Lee, Andrew Neeser, Shengzhe Xu, Jay Katyan, Patrick Cross, Sharanya Pathakota, Marigold Norman, John Simeone, Jaganmohan Chandrasekaran, Naren Ramakrishnan:
Can an LLM Find Its Way Around a Spreadsheet? ICSE 2025: 294-306 - [i8]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:
Optimizing Product Provenance Verification using Data Valuation Methods. CoRR abs/2502.15177 (2025) - [i7]Rashed Shelim, Shengzhe Xu, Walid Saad, Naren Ramakrishnan:
When can isotropy help adapt LLMs' next word prediction to numerical domains? CoRR abs/2505.17135 (2025) - [i6]Shengzhe Xu, Nikhil Muralidhar, Naren Ramakrishnan:
The Prompt is Mightier than the Example. CoRR abs/2505.18485 (2025) - 2024
- [j1]Shengzhe Xu, Christo Kurisummoottil Thomas, Omar Hashash, Nikhil Muralidhar, Walid Saad, Naren Ramakrishnan:
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems. IEEE Netw. 38(5): 10-20 (2024) - [c4]Raquib Bin Yousuf, Nicholas Defelice, Mandar Sharma, Shengzhe Xu, Naren Ramakrishnan:
LLM Augmentations to support Analytical Reasoning over Multiple Documents. IEEE Big Data 2024: 1892-1901 - [c3]Raquib Bin Yousuf, Shengzhe Xu, Patrick Butler, Brian Mayer, Nathan Self, David Mares, Naren Ramakrishnan:
Forecasting Migration Patterns and Land Border Encounters. IEEE Big Data 2024: 2394-2399 - [i5]Shengzhe Xu, Christo Kurisummoottil Thomas, Omar Hashash, Nikhil Muralidhar, Walid Saad, Naren Ramakrishnan:
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems. CoRR abs/2402.01748 (2024) - [i4]Mandar Sharma, Nikhil Muralidhar, Shengzhe Xu, Raquib Bin Yousuf, Naren Ramakrishnan:
Information Guided Regularization for Fine-tuning Language Models. CoRR abs/2406.14005 (2024) - [i3]Shengzhe Xu, Cho-Ting Lee, Mandar Sharma, Raquib Bin Yousuf, Nikhil Muralidhar, Naren Ramakrishnan:
Are LLMs Naturally Good at Synthetic Tabular Data Generation? CoRR abs/2406.14541 (2024) - [i2]Raquib Bin Yousuf, Nicholas Defelice, Mandar Sharma, Shengzhe Xu, Naren Ramakrishnan:
LLM Augmentations to support Analytical Reasoning over Multiple Documents. CoRR abs/2411.16116 (2024) - 2023
- [c2]Abhinav Prasad, Prakash Arunachalam, Ali Motamedi, Ranjeeta Bhattacharya, Beibei Liu, Hays McCormick, Shengzhe Xu, Nikhil Muralidhar, Naren Ramakrishnan:
ML-Assisted Optimization of Securities Lending. ICAIF 2023: 628-636 - 2020
- [i1]Shengzhe Xu, Manish Marwah, Naren Ramakrishnan:
STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models. CoRR abs/2009.12740 (2020)
2010 – 2019
Coauthor Index
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