Muthusamy Chelliah

According to our database, Muthusamy Chelliah authored at least 21 papers between 1995 and 2024.

Collaborative distances:

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

2024

Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization.

Swaroop Nath, Tejpalsingh Siledar, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Harshad Khadilkar, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera

CoRR, 2024

One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation.

Tejpalsingh Siledar, Swaroop Nath, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Swaprava Nath, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera

CoRR, 2024

2023

Social Re-Identification Assisted RTO Detection for E-Commerce.

Hitkul Jangra, Abinaya K, Soham Saha, Satyajit Banerjee, Muthusamy Chelliah, Ponnurangam Kumaraguru

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Towards Fair Allocation in Social Commerce Platforms.

Anjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah

Proceedings of the ACM Web Conference 2023, 2023

Synthesize, if you do not have: Effective Synthetic Dataset Creation Strategies for Self-Supervised Opinion Summarization in E-commerce.

Tejpalsingh Siledar, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera, Pushpak Bhattacharyya

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

Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards.

Baban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah

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

2022

Investigating Effectiveness of Multi-Encoder for Conversational Neural Machine Translation.

Baban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah

Proceedings of the Seventh Conference on Machine Translation, 2022

Recommendation of Compatible Outfits Conditioned on Style.

Debopriyo Banerjee, Lucky Dhakad, Harsh Maheshwari, Muthusamy Chelliah, Niloy Ganguly, Arnab Bhattacharya

Proceedings of the Advances in Information Retrieval, 2022

An Application to Generate Style Guided Compatible Outfit.

Debopriyo Banerjee, Harsh Maheshwari, Lucky Dhakad, Arnab Bhattacharya, Niloy Ganguly, Muthusamy Chelliah, Suyash Agarwal

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Low Resource Chat Translation: A Benchmark for Hindi-English Language Pair.

Baban Gain, Ramakrishna Appicharla, Asif Ekbal, Muthusamy Chelliah, Soumya Chennabasavraj, Nikesh Garera

Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

2021

Fine-Grained Visual Attribute Extraction From Fashion Wear.

Viral Parekh, Karimulla Shaik, Soma Biswas, Muthusamy Chelliah

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Principle-to-Program: Neural Methods for Similar Question Retrieval in Online Communities.

Muthusamy Chelliah, Manish Shrivastava, Jaidam Ram Tej

Proceedings of the Advances in Information Retrieval, 2020

2019

Concept to Code: Deep Learning for Fashion Recommendation.

Omprakash Sonie, Muthusamy Chelliah, Shamik Sural

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

Principle-to-program: Neural Fashion Recommendation with Multi-modal Input.

Muthusamy Chelliah, Soma Biswas, Lucky Dhakad

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Personalised Fashion Recommendation using Deep Learning.

Omprakash Sonie, Muthusamy Chelliah, Shamik Sural

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

Recommendation for Multi-stakeholders and through Neural Review Mining.

Muthusamy Chelliah, Yong Zheng, Sudeshna Sarkar

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017

Recommendation of High Quality Representative Reviews in e-commerce.

Debanjan Paul, Sudeshna Sarkar, Muthusamy Chelliah, Chetan Kalyan, Prajit Prashant Sinai Nadkarni

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Product Recommendations Enhanced with Reviews.

Muthusamy Chelliah, Sudeshna Sarkar

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2015

SimCat: an entity similarity measure for heterogeneous knowledge graph with categories.

Arup Choudhury, Shrey Sharma, Pabitra Mitra, Cyril Sebastian, Shrikant S. Naidu, Muthusamy Chelliah

Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

2002

Flexible Robust Programming in Distributed Object Systems.

Mustaque Ahamad, Muthusamy Chelliah

IEEE Trans. Knowl. Data Eng., 2002

1995

System Support for Robust Collaborative Applications.

Muthusamy Chelliah, Mustaque Ahamad

Proceedings of the 14th Symposium on Reliable Distributed Systems, 1995