Lihong He

13 papers A* 2A 1B 2Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
MTRAG-UN: A Benchmark for Open Challenges in Multi-Turn RAG Conversations.
CoRR
Sara Rosenthal, Yannis Katsis, Vraj Shah, Lihong He, Lucian Popa, Marina Danilevsky
2025 J jnl
A Library of LLM Intrinsics for Retrieval-Augmented Generation.
CoRR
Marina Danilevsky, Kristjan H. Greenewald, R. Chulaka Gunasekara, Maeda F. Hanafi, Lihong He, Yannis Katsis, Krishnateja Killamsetty, Yatin Nandwani, Lucian Popa, Dinesh Raghu, Frederick Reiss, Vraj Shah, Khoi-Nguyen Tran, Huaiyu Zhu, Luis A. Lastras
2024 — conf
Comquest: Large Scale User Comment Crawling and Integration.
SIGMOD Conference Companion
Zhijia Chen, Lihong He, Arjun Mukherjee, Eduard C. Dragut
2023 — conf
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture.
EMNLP (Findings)
Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, Yunyao Li, James A. Hendler, Dakuo Wang
2023 J jnl
Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture.
CoRR
Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, James A. Hendler, Dakuo Wang
2022 B conf
COIN - an Inexpensive and Strong Baseline for Predicting Out of Vocabulary Word Embeddings.
COLING
Andrew T. Schneider, Lihong He, Zhijia Chen, Arjun Mukherjee, Eduard C. Dragut
2022 B conf
Session-based News Recommendation from Temporal User Commenting Dynamics.
ASONAM
Chen Shen, Chao Han, Lihong He, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut
2021 A conf
Cannot Predict Comment Volume of a News Article before (a few) Users Read It.
ICWSM
Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut
2020 J jnl
Cannot Predict Comment Volume of a News Article before (a few) Users Read It.
CoRR
Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut
2020 J jnl
On the dynamics of user engagement in news comment media.
WIREs Data Mining Knowl. Discov.
Lihong He, Chao Han, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut
2019 A* conf
How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction.
KDD
Shanshan Zhang, Lihong He, Eduard C. Dragut, Slobodan Vucetic
2018 A* conf
Regular Expression Guided Entity Mention Mining from Noisy Web Data.
EMNLP
Shanshan Zhang, Lihong He, Slobodan Vucetic, Eduard C. Dragut
2017 J jnl
Result Merging for Structured Queries on the Deep Web with Active Relevance Weight Estimation.
Inf. Syst.
Jing Yuan, Lihong He, Eduard C. Dragut, Weiyi Meng, Clement T. Yu