Srinivasan H. Sengamedu

According to our database, Srinivasan H. Sengamedu authored at least 36 papers between 2007 and 2024.

Collaborative distances:

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

2024

Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey.

Xi Fang, Weijie Xu, Fiona Anting Tan, Ziqing Hu, Jiani Zhang, Yanjun Qi, Srinivasan H. Sengamedu, Christos Faloutsos

Trans. Mach. Learn. Res., 2024

HR-Agent: A Task-Oriented Dialogue (TOD) LLM Agent Tailored for HR Applications.

Weijie Xu, Jay Desai, Fanyou Wu, Josef Valvoda, Srinivasan H. Sengamedu

CoRR, 2024

Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation.

Fanyou Wu, Weijie Xu, Chandan K. Reddy, Srinivasan H. Sengamedu

CoRR, 2024

LOLAMEME: Logic, Language, Memory, Mechanistic Framework.

Jay Desai, Xiaobo Guo, Srinivasan H. Sengamedu

CoRR, 2024

JADS: A Framework for Self-supervised Joint Aspect Discovery and Summarization.

Xiaobo Guo, Jay Desai, Srinivasan H. Sengamedu

CoRR, 2024

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey.

Xi Fang, Weijie Xu, Fiona Anting Tan, Jiani Zhang, Ziqing Hu, Yanjun Qi, Scott Nickleach, Diego Socolinsky, Srinivasan H. Sengamedu, Christos Faloutsos

CoRR, 2024

HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent.

Weijie Xu, Zicheng Huang, Wenxiang Hu, Xi Fang, Rajesh Kumar Cherukuri, Naumaan Nayyar, Lorenzo Malandri, Srinivasan H. Sengamedu

CoRR, 2024

2023

Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded Dialogue Generation.

Yixin Wan, Fanyou Wu, Weijie Xu, Srinivasan H. Sengamedu

CoRR, 2023

S2vNTM: Semi-supervised vMF Neural Topic Modeling.

Weijie Xu, Jay Desai, Srinivasan H. Sengamedu, Xiaoyu Jiang, Francis Iannacci

CoRR, 2023

vONTSS: vMF based semi-supervised neural topic modeling with optimal transport.

Weijie Xu, Xiaoyu Jiang, Srinivasan H. Sengamedu, Francis Iannacci, Jinjin Zhao

CoRR, 2023

Code Compliance Assessment as a Learning Problem.

Neela Sawant, Srinivasan H. Sengamedu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

FairLabel: Correcting Bias in Labels.

Srinivasan H. Sengamedu, Hien Pham

Proceedings of the IEEE International Conference on Data Mining, 2023

DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM.

Weijie Xu, Wenxiang Hu, Fanyou Wu, Srinivasan H. Sengamedu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Synthesizing code quality rules from examples.

Pranav Garg, Srinivasan H. Sengamedu

Proc. ACM Program. Lang., 2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Hyperbolic Neural Networks: Theory, Architectures and Applications.

Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning-based Identification of Coding Best Practices from Software Documentation.

Neela Sawant, Srinivasan H. Sengamedu

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

2019

ProductQnA: Answering User Questions on E-Commerce Product Pages.

Ashish Kulkarni, Kartik Mehta, Shweta Garg, Vidit Bansal, Nikhil Rasiwasia, Srinivasan H. Sengamedu

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

2018

Bayesian Semi-Supervised Tensor Decomposition using Natural Gradients for Anomaly Detection.

Anil R. Yelundur, Srinivasan H. Sengamedu, Bamdev Mishra

CoRR, 2018

2017

Intent Based Relevance Estimation from Click Logs.

Prakash Mandayam Comar, Srinivasan H. Sengamedu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2013

Exploiting user clicks for automatic seed set generation for entity matching.

Xiao Bai, Flavio Paiva Junqueira, Srinivasan H. Sengamedu

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Multi-objective ranking of comments on web.

Onkar Dalal, Srinivasan H. Sengamedu, Subhajit Sanyal

Proceedings of the 21st World Wide Web Conference 2012, 2012

Comment spam detection by sequence mining.

Ravi Kant, Srinivasan H. Sengamedu, Krishnan S. Kumar

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Matching product titles using web-based enrichment.

Vishrawas Gopalakrishnan, Suresh Parthasarathy Iyengar, Amit Madaan, Rajeev Rastogi, Srinivasan H. Sengamedu

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Scalable Analytics - Algorithms and Systems.

Srinivasan H. Sengamedu

Proceedings of the Big Data Analytics, First International Conference, 2012

2011

ReadAlong: reading articles and comments together.

Dyut Kumar Sil, Srinivasan H. Sengamedu, Chiranjib Bhattacharyya

Proceedings of the 20th International Conference on World Wide Web, 2011

Detection of pornographic content in internet images.

Srinivasan H. Sengamedu, Subhajit Sanyal, Sriram Satish

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Entity disambiguation with hierarchical topic models.

Saurabh Kataria, Krishnan S. Kumar, Rajeev Rastogi, Prithviraj Sen, Srinivasan H. Sengamedu

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Web-scale information extraction with vertex.

Pankaj Gulhane, Amit Madaan, Rupesh R. Mehta, Jeyashankher Ramamirtham, Rajeev Rastogi, Sandeepkumar Satpal, Srinivasan H. Sengamedu, Ashwin Tengli, Charu Tiwari

Proceedings of the 27th International Conference on Data Engineering, 2011

Supervised matching of comments with news article segments.

Dyut Kumar Sil, Srinivasan H. Sengamedu, Chiranjib Bhattacharyya

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Exploiting Content Redundancy for Web Information Extraction.

Pankaj Gulhane, Rajeev Rastogi, Srinivasan H. Sengamedu, Ashwin Tengli

Proc. VLDB Endow., 2010

Building Knowledge-bases from the Web.

Srinivasan H. Sengamedu

Proceedings of the 16th International Conference on Management of Data, 2010

High-Precision Web Extraction Using Site Knowledge.

Meghana Ksirsagar, Rajeev Rastogi, Sandeepkumar Satpal, Srinivasan H. Sengamedu, Venu Satuluri

Proceedings of the 16th International Conference on Management of Data, 2010

2008

Finding near-duplicate images on the web using fingerprints.

Srinivasan H. Sengamedu, Neela Sawant

Proceedings of the 16th International Conference on Multimedia 2008, 2008

2007

vADeo: video advertising system.

Srinivasan H. Sengamedu, Neela Sawant, Smita Wadhwa

Proceedings of the 15th International Conference on Multimedia 2007, 2007

LogoSeeker: a system for detecting and matching logos in natural images.

Subhajit Sanyal, Srinivasan H. Sengamedu

Proceedings of the 15th International Conference on Multimedia 2007, 2007