Sreyashi Nag

32 papers A* 1A 2B 1Journal 18Unranked 10
YearRankTypeTitle / Venue / Authors
2026 — conf
Agent A/B: Automated and Scalable A/B Testing on Live Websites with Interactive LLM Agents.
CHI Extended Abstracts
Yuxuan Lu, Ting-Yao Hsu, Hansu Gu, Limeng Cui, Yaochen Xie, William Headden, Bingsheng Yao, Akash Veeragouni, Jiapeng Liu, Sreyashi Nag, Zheshen Jessie Wang, Dakuo Wang
2026 J jnl
DiffKGW: Stealthy and Robust Diffusion Model Watermarking.
Trans. Mach. Learn. Res.
Tianxin Wei, Ruizhong Qiu, Yifan Chen, Yunzhe Qi, Jiacheng Lin, Wenxuan Bao, Wenju Xu, Sreyashi Nag, Ruirui Li, Hanqing Lu, Zhengyang Wang, Chen Luo, Hui Liu, Suhang Wang, Jingrui He, Qi He, Xianfeng Tang
2025 J jnl
AgentA/B: Automated and Scalable Web A/BTesting with Interactive LLM Agents.
CoRR
Dakuo Wang, Ting-Yao Hsu, Yuxuan Lu, Hansu Gu, Limeng Cui, Yaochen Xie, William Headean, Bingsheng Yao, Akash Veeragouni, Jiapeng Liu, Sreyashi Nag, Jessie Wang
2025 — conf
EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association.
ACL (1)
Weiqi Wang, Limeng Cui, Xin Liu, Sreyashi Nag, Wenju Xu, Chen Luo, Sheikh Muhammad Sarwar, Yang Li, Hansu Gu, Hui Liu, Changlong Yu, Jiaxin Bai, Yifan Gao, Haiyang Zhang, Qi He, Shuiwang Ji, Yangqiu Song
2025 J jnl
EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association.
CoRR
Weiqi Wang, Limeng Cui, Xin Liu, Sreyashi Nag, Wenju Xu, Chen Luo, Sheikh Muhammad Sarwar, Yang Li, Hansu Gu, Hui Liu, Changlong Yu, Jiaxin Bai, Yifan Gao, Haiyang Zhang, Qi He, Shuiwang Ji, Yangqiu Song
2025 — conf
Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data.
NAACL (Findings)
Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
2025 J jnl
Query Brand Entity Linking in E-Commerce Search.
CoRR
Dong Liu, Sreyashi Nag
2025 J jnl
RRO: LLM Agent Optimization Through Rising Reward Trajectories.
CoRR
Zilong Wang, Jingfeng Yang, Sreyashi Nag, Samarth Varshney, Xianfeng Tang, Haoming Jiang, Jingbo Shang, Sheikh Muhammad Sarwar
2025 — conf
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning.
ACL (Findings)
Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025 J jnl
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning.
CoRR
Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025 — conf
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.
NAACL (Long Papers)
Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2024 B conf
Exploring Query Understanding for Amazon Product Search.
IEEE Big Data
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
2024 J jnl
Exploring Query Understanding for Amazon Product Search.
CoRR
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
2024 — conf
Hierarchical Query Classification in E-commerce Search.
WWW (Companion Volume)
Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang
2024 J jnl
Hierarchical Query Classification in E-commerce Search.
CoRR
Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang
2024 — conf
IterAlign: Iterative Constitutional Alignment of Large Language Models.
NAACL-HLT
Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang
2024 J jnl
IterAlign: Iterative Constitutional Alignment of Large Language Models.
CoRR
Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang
2024 A* conf
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.
EMNLP
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
2024 J jnl
Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data.
CoRR
Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
2024 A conf
REAPER: Reasoning based Retrieval Planning for Complex RAG Systems.
CIKM
Ashutosh Joshi, Sheikh Muhammad Sarwar, Samarth Varshney, Sreyashi Nag, Shrivats Agrawal, Juhi Naik
2024 J jnl
REAPER: Reasoning based Retrieval Planning for Complex RAG Systems.
CoRR
Ashutosh Joshi, Sheikh Muhammad Sarwar, Samarth Varshney, Sreyashi Nag, Shrivats Agrawal, Juhi Naik
2024 J jnl
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.
CoRR
Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2023 — conf
Improving Consistency for Text Summarization with Energy Functions.
EMNLP (Findings)
Qi Zeng, Qingyu Yin, Zheng Li, Yifan Gao, Sreyashi Nag, Zhengyang Wang, Bing Yin, Heng Ji, Chao Zhang
2023 J jnl
Situated Natural Language Explanations.
CoRR
Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin
2022 — conf
ROSE: Robust Caches for Amazon Product Search.
WWW (Companion Volume)
Chen Luo, Vihan Lakshman, Anshumali Shrivastava, Tianyu Cao, Sreyashi Nag, Rahul Goutam, Hanqing Lu, Yiwei Song, Bing Yin
2021 J jnl
Letter from the Special Issue Editor.
IEEE Data Eng. Bull.
Bing Yin, Sreyashi Nag
2020 J jnl
Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation.
CoRR
Sreyashi Nag, Mihir Kale, Varun Lakshminarasimhan, Swapnil Singhavi
2020 J jnl
Multi-class instance-incremental framework for classification in fully dynamic graphs.
Int. J. Comput. Sci. Eng.
Hardeo Kumar Thakur, Anand Gupta, Sreyashi Nag, Ritvik Shrivastava
2019 J jnl
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks.
CoRR
Mihir Kale, Aditya Siddhant, Sreyashi Nag, Radhika Parik, Matthias Grabmair, Anthony Tomasic
2017 — conf
A Big Data Analysis Framework Using Apache Spark and Deep Learning.
ICDM Workshops
Anand Gupta, Hardeo Kumar Thakur, Ritvik Shrivastava, Pulkit Kumar, Sreyashi Nag
2017 J jnl
A Big Data Analysis Framework Using Apache Spark and Deep Learning.
CoRR
Anand Gupta, Hardeo Kumar Thakur, Ritvik Shrivastava, Pulkit Kumar, Sreyashi Nag
2017 A conf
Ground: A Data Context Service.
CIDR
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