Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Chelliah, Muthusamy"'
Autor:
Muddu, Sri Raghava, Rangaraju, Rupasai, Siledar, Tejpalsingh, Nath, Swaroop, Bhattacharyya, Pushpak, Nath, Swaprava, Banerjee, Suman, Patil, Amey, Chelliah, Muthusamy, Singh, Sudhanshu Shekhar, Garera, Nikesh
Opinion summarization in e-commerce encapsulates the collective views of numerous users about a product based on their reviews. Typically, a product on an e-commerce platform has thousands of reviews, each review comprising around 10-15 words. While
Externí odkaz:
http://arxiv.org/abs/2406.10886
Autor:
Siledar, Tejpalsingh, Rangaraju, Rupasai, Muddu, Sankara Sri Raghava Ravindra, Banerjee, Suman, Patil, Amey, Singh, Sudhanshu Shekhar, Chelliah, Muthusamy, Garera, Nikesh, Nath, Swaprava, Bhattacharyya, Pushpak
In e-commerce, opinion summarization is the process of summarizing the consensus opinions found in product reviews. However, the potential of additional sources such as product description and question-answers (QA) has been considered less often. Mor
Externí odkaz:
http://arxiv.org/abs/2404.05243
Autor:
Nath, Swaroop, Siledar, Tejpalsingh, Muddu, Sankara Sri Raghava Ravindra, Rangaraju, Rupasai, Khadilkar, Harshad, Bhattacharyya, Pushpak, Banerjee, Suman, Patil, Amey, Singh, Sudhanshu Shekhar, Chelliah, Muthusamy, Garera, Nikesh
Reinforcement Learning from Human Feedback (RLHF) has become a dominating strategy in aligning Language Models (LMs) with human values/goals. The key to the strategy is learning a reward model ($\varphi$), which can reflect the latent reward model of
Externí odkaz:
http://arxiv.org/abs/2402.15473
Autor:
Gupta, Anjali, Nagori, Shreyans J., Chakraborty, Abhijnan, Vaish, Rohit, Ranu, Sayan, Nadkarni, Prajit Prashant, Dasararaju, Narendra Varma, Chelliah, Muthusamy
Social commerce platforms are emerging businesses where producers sell products through re-sellers who advertise the products to other customers in their social network. Due to the increasing popularity of this business model, thousands of small prod
Externí odkaz:
http://arxiv.org/abs/2402.12759
Autor:
Siledar, Tejpalsingh, Nath, Swaroop, Muddu, Sankara Sri Raghava Ravindra, Rangaraju, Rupasai, Nath, Swaprava, Bhattacharyya, Pushpak, Banerjee, Suman, Patil, Amey, Singh, Sudhanshu Shekhar, Chelliah, Muthusamy, Garera, Nikesh
Evaluation of opinion summaries using conventional reference-based metrics rarely provides a holistic evaluation and has been shown to have a relatively low correlation with human judgments. Recent studies suggest using Large Language Models (LLMs) a
Externí odkaz:
http://arxiv.org/abs/2402.11683
Autor:
Gain, Baban, Appicharla, Ramakrishna, Chennabasavaraj, Soumya, Garera, Nikesh, Ekbal, Asif, Chelliah, Muthusamy
Community Question-Answering (CQA) portals serve as a valuable tool for helping users within an organization. However, making them accessible to non-English-speaking users continues to be a challenge. Translating questions can broaden the community's
Externí odkaz:
http://arxiv.org/abs/2310.15259
Autor:
Banerjee, Debopriyo, Maheshwari, Harsh, Dhakad1, Lucky, Bhattacharya1, Arnab, Ganguly, Niloy, Chelliah, Muthusamy, Agarwal1, Suyash
Fashion recommendation has witnessed a phenomenal growth of research, particularly in the domains of shop-the-look, contextaware outfit creation, personalizing outfit creation etc. Majority of the work in this area focuses on better understanding of
Externí odkaz:
http://arxiv.org/abs/2205.00663
Autor:
Banerjee, Debopriyo, Dhakad, Lucky, Maheshwari, Harsh, Chelliah, Muthusamy, Ganguly, Niloy, Bhattacharya, Arnab
Recommendation in the fashion domain has seen a recent surge in research in various areas, for example, shop-the-look, context-aware outfit creation, personalizing outfit creation, etc. The majority of state of the art approaches in the domain of out
Externí odkaz:
http://arxiv.org/abs/2203.16161
Publikováno v:
Advances in Information Retrieval
Similar question retrieval is a challenge due to lexical gap between query and candidates in archive and is very different from traditional IR methods for duplicate detection, paraphrase identification and semantic equivalence. This tutorial covers r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::1362f90b7809fdd29309074663f4b816
http://europepmc.org/articles/PMC7148010
http://europepmc.org/articles/PMC7148010
