Sreyashi Nag

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Hierarchically Organized

Natural Language

Top Venues

WWW (Companion Volume)

Int. J. Comput. Sci. Eng.

Publications

Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang
Hierarchical Query Classification in E-commerce Search. WWW (Companion Volume) (2024)
Ashutosh Joshi, Sheikh Muhammad Sarwar, Samarth Varshney, Sreyashi Nag, Shrivats Agrawal, Juhi Naik
REAPER: Reasoning based Retrieval Planning for Complex RAG Systems. CoRR (2024)
Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang
IterAlign: Iterative Constitutional Alignment of Large Language Models. NAACL-HLT (2024)
Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang
IterAlign: Iterative Constitutional Alignment of Large Language Models. CoRR (2024)
Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang
Hierarchical Query Classification in E-commerce Search. CoRR (2024)
Qi Zeng, Qingyu Yin, Zheng Li, Yifan Gao, Sreyashi Nag, Zhengyang Wang, Bing Yin, Heng Ji, Chao Zhang
Improving Consistency for Text Summarization with Energy Functions. EMNLP (Findings) (2023)
Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin
Situated Natural Language Explanations. CoRR (2023)
Chen Luo, Vihan Lakshman, Anshumali Shrivastava, Tianyu Cao, Sreyashi Nag, Rahul Goutam, Hanqing Lu, Yiwei Song, Bing Yin
ROSE: Robust Caches for Amazon Product Search. WWW (Companion Volume) (2022)
Bing Yin, Sreyashi Nag
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 44 (2) (2021)
Sreyashi Nag, Mihir Kale, Varun Lakshminarasimhan, Swapnil Singhavi
Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation. CoRR (2020)
Hardeo Kumar Thakur, Anand Gupta, Sreyashi Nag, Ritvik Shrivastava
Multi-class instance-incremental framework for classification in fully dynamic graphs. Int. J. Comput. Sci. Eng. 21 (1) (2020)
Mihir Kale, Aditya Siddhant, Sreyashi Nag, Radhika Parik, Matthias Grabmair, Anthony Tomasic
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks. CoRR (2019)
Anand Gupta, Hardeo Kumar Thakur, Ritvik Shrivastava, Pulkit Kumar, Sreyashi Nag
A Big Data Analysis Framework Using Apache Spark and Deep Learning. ICDM Workshops (2017)
Joseph M. Hellerstein, Vikram Sreekanti, Joseph E. Gonzalez, James Dalton, Akon Dey, Sreyashi Nag, Krishna Ramachandran, Sudhanshu Arora, Arka Bhattacharyya, Shirshanka Das, Mark Donsky, Gabriel Fierro, Chang She, Carl Steinbach, Venkat Subramanian, Eric Sun
Ground: A Data Context Service. CIDR (2017)
Anand Gupta, Hardeo Kumar Thakur, Ritvik Shrivastava, Pulkit Kumar, Sreyashi Nag
A Big Data Analysis Framework Using Apache Spark and Deep Learning. CoRR (2017)