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Sreyashi Nag
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2020 – today
- 2024
- [c8]Ashutosh Joshi
, Sheikh Muhammad Sarwar
REAPER: Reasoning based Retrieval Planning for Complex RAG Systems. CIKM 2024: 4621-4628 - [c7]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:
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. EMNLP 2024: 13696-13710 - [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
Hierarchical Query Classification in E-commerce Search. WWW (Companion Volume) 2024: 338-345 - [i9]Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang
Hierarchical Query Classification in E-commerce Search. CoRR abs/2403.06021 (2024) - [i8]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) - [i7]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) - [i6]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:
Exploring Query Understanding for Amazon Product Search. CoRR abs/2408.02215 (2024) - [i5]Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He:
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. CoRR abs/2410.17952 (2024) - 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 - [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) - 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 - 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
Multi-class instance-incremental framework for classification in fully dynamic graphs. Int. J. Comput. Sci. Eng. 21(1): 69-83 (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)
2010 – 2019
- 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
- [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
A Big Data Analysis Framework Using Apache Spark and Deep Learning. ICDM Workshops 2017: 9-16 - [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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