Furong Jia

According to our database, Furong Jia authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

What Patients Really Ask: Exploring the Effect of False Assumptions in Patient Information Seeking.

Raymond M. Xiong, Furong Jia, Lionel Wong, Monica Agrawal

CoRR, January, 2026

Batch-of-Thought: Cross-Instance Learning for Enhanced LLM Reasoning.

Xuan Yang, Furong Jia, Roy Xie, Xiong Xi, Hengwei Bian, Jian Li, Monica Agrawal

CoRR, January, 2026

2025

Counting Clues: A Lightweight Probabilistic Baseline Can Match an LLM.

Furong Jia, Yuan Pu, Finn Guo, Monica Agrawal

CoRR, December, 2025

Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.

Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor

CoRR, October, 2025

Diagnosing our datasets: How does my language model learn clinical information?

Furong Jia, David A. Sontag, Monica Agrawal

CoRR, May, 2025

How does my language model understand clinical text?

Furong Jia, David A. Sontag, Monica Agrawal

Proceedings of the Conference on Health, 2025

2024

TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting.

Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting.

Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

I2I: Initializing Adapters with Improvised Knowledge.

Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason

Proceedings of the Conference on Lifelong Learning Agents, 2023