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Sreyashi Nag
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Journal Articles
- 2021
- [j2]Bing Yin, Sreyashi Nag:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 44(2): 2 (2021) - 2020
- [j1]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): 69-83 (2020)
Conference and Workshop Papers
- 2024
- [c6]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: 1423-1433 - [c5]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: 338-345 - 2023
- [c4]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: 11925-11931 - 2022
- [c3]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: 89-93 - 2017
- [c2]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 - [c1]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: 9-16
Informal and Other Publications
- 2024
- [i7]Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang
, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang:
Hierarchical Query Classification in E-commerce Search. CoRR abs/2403.06021 (2024) - [i6]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 abs/2403.18341 (2024) - [i5]Ashutosh Joshi, Sheikh Muhammad Sarwar, Samarth Varshney, Sreyashi Nag, Shrivats Agrawal, Juhi Naik:
REAPER: Reasoning based Retrieval Planning for Complex RAG Systems. CoRR abs/2407.18553 (2024) - 2023
- [i4]Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin:
Situated Natural Language Explanations. CoRR abs/2308.14115 (2023) - 2020
- [i3]Sreyashi Nag, Mihir Kale, Varun Lakshminarasimhan, Swapnil Singhavi:
Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation. CoRR abs/2004.02071 (2020) - 2019
- [i2]Mihir Kale, Aditya Siddhant, Sreyashi Nag, Radhika Parik, Matthias Grabmair, Anthony Tomasic:
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks. CoRR abs/1906.12039 (2019) - 2017
- [i1]Anand Gupta, Hardeo Kumar Thakur, Ritvik Shrivastava, Pulkit Kumar, Sreyashi Nag:
A Big Data Analysis Framework Using Apache Spark and Deep Learning. CoRR abs/1711.09279 (2017)
Coauthor Index
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