Sreyashi Nag

According to our database, Sreyashi Nag authored at least 15 papers between 2017 and 2024.

Collaborative distances:

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

2024

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.

Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He

CoRR, 2024

Exploring Query Understanding for Amazon Product Search.

Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He

CoRR, 2024

Hierarchical Query Classification in E-commerce Search.

Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

IterAlign: Iterative Constitutional Alignment of Large Language Models.

Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.

Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

REAPER: Reasoning based Retrieval Planning for Complex RAG Systems.

Ashutosh Joshi, Sheikh Muhammad Sarwar, Samarth Varshney, Sreyashi Nag, Shrivats Agrawal, Juhi Naik

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Situated Natural Language Explanations.

Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin

CoRR, 2023

Improving Consistency for Text Summarization with Energy Functions.

Qi Zeng, Qingyu Yin, Zheng Li, Yifan Gao, Sreyashi Nag, Zhengyang Wang, Bing Yin, Heng Ji, Chao Zhang

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

2022

ROSE: Robust Caches for Amazon Product Search.

Chen Luo, Vihan Lakshman, Anshumali Shrivastava, Tianyu Cao, Sreyashi Nag, Rahul Goutam, Hanqing Lu, Yiwei Song, Bing Yin

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

2021

Letter from the Special Issue Editor.

Bing Yin, Sreyashi Nag

IEEE Data Eng. Bull., 2021

2020

Multi-class instance-incremental framework for classification in fully dynamic graphs.

Hardeo Kumar Thakur, Anand Gupta, Sreyashi Nag, Ritvik Shrivastava

Int. J. Comput. Sci. Eng., 2020

Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation.

Sreyashi Nag, Mihir Kale, Varun Lakshminarasimhan, Swapnil Singhavi

CoRR, 2020

2019

Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks.

Mihir Kale, Aditya Siddhant, Sreyashi Nag, Radhika Parik, Matthias Grabmair, Anthony Tomasic

CoRR, 2019

2017

A Big Data Analysis Framework Using Apache Spark and Deep Learning.

Anand Gupta, Hardeo Kumar Thakur, Ritvik Shrivastava, Pulkit Kumar, Sreyashi Nag

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Ground: A Data Context Service.

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

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017