Lihong He

Researcher, IBM Research, International Business Machines

Joined

June 2023

Names

Lihong He (Preferred)

Emails

****@ibm.com (Confirmed)

****@temple.edu

Personal Links

Career & Education History

Researcher

IBM Research, International Business Machines (ibm.com)

2021 – Present

PhD student

Computer Science, Temple University (temple.edu)

2016 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Eduard Dragut

2016 – 2021

Expertise

NLP

2016 – 2023

Information Retrieval

2016 – 2021

Publications

A Library of LLM Intrinsics for Retrieval-Augmented Generation
Marina Danilevsky, Kristjan 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
- CoRR 2025
- Readers: Everyone
Comquest: Large Scale User Comment Crawling and Integration
Zhijia Chen, Lihong He, Arjun Mukherjee, Eduard C. Dragut
- SIGMOD Conference Companion 2024
- Readers: Everyone
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture
Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, Yunyao Li, James Hendler, Dakuo Wang
- EMNLP 2023 Findings
- Readers: Everyone
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture
Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, Yunyao Li, James A. Hendler, Dakuo Wang
- EMNLP (Findings) 2023
- Readers: Everyone
Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture
Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, James A. Hendler, Dakuo Wang
- Published: 01 Jan 2023, Last Modified: 04 Jun 2023
- CoRR 2023
- Readers: Everyone
COIN - an Inexpensive and Strong Baseline for Predicting Out of Vocabulary Word Embeddings
Andrew T. Schneider, Lihong He, Zhijia Chen, Arjun Mukherjee, Eduard C. Dragut
- Published: 01 Jan 2022, Last Modified: 24 Feb 2024
- COLING 2022
- Readers: Everyone
Session-based News Recommendation from Temporal User Commenting Dynamics
Chen Shen, Chao Han, Lihong He, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut
- Published: 01 Jan 2022, Last Modified: 24 Feb 2024
- ASONAM 2022
- Readers: Everyone
Cannot Predict Comment Volume of a News Article before (a few) Users Read It
Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut
- Published: 01 Jan 2021, Last Modified: 24 Feb 2024
- ICWSM 2021
- Readers: Everyone
Cannot Predict Comment Volume of a News Article before (a few) Users Read It
Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut
- Published: 01 Jan 2020, Last Modified: 24 Feb 2024
- CoRR 2020
- Readers: Everyone
On the dynamics of user engagement in news comment media
Lihong He, Chao Han, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut
- Published: 01 Jan 2020, Last Modified: 24 Feb 2024
- WIREs Data Mining Knowl. Discov. 2020
- Readers: Everyone

View all 13 publications

Co-Authors

View all 35 co-authors