Research Areas
generative AI, language modeling, natural language processing,
hypergraph & graph deep learning, theoretical machine learning,
computational finance & quantitative trading,
search, ranking, recommendation
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FAST: Financial News and Tweet Based Time-Aware Network for Stock Trading | Paper | Code
Ramit Sawhney*, Arnav Wadhwa*, Shivam Agarwal, Rajiv Ratn Shah
The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Kyiv, Ukraine. Full Paper [Acceptance Rate = 24%]
An Object Detection Approach for Detecting Damages in Heritage Sites using 3-D Point Clouds and 2-D Visual Data | Paper
Rachna Pathak, Anil Saini, Arnav Wadhwa, Himanshu Sharma, Dhiraj Sangwan
The Journal of Cultural Heritage, Elsevier (2021) [Acceptance Rate = 13.5%]
GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion | Paper | Code
Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn ShahÂ
The 2020 International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain. Long Paper [Acceptance Rate = 35.3%]
Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations | Paper | Talk | Code
Ramit Sawhney*, Shivam Agarwal*, Arnav Wadhwa, Rajiv Ratn Shah
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Dominican Republic. Long Paper [Acceptance Rate = 24.6%]
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