Jiabao Ji

According to our database, Jiabao Ji authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

HardTests: Synthesizing High-Quality Test Cases for LLM Coding.

Zhongmou He, Yee Man Choi, Kexun Zhang, Jiabao Ji, Junting Zhou, Dejia Xu, Ivan Bercovich, Aidan Zhang, Lei Li

CoRR, May, 2025

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners.

Jiabao Ji, Yongchao Chen, Yang Zhang, Ramana Rao Kompella, Chuchu Fan, Gaowen Liu, Shiyu Chang

CoRR, May, 2025

ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.

Bairu Hou, Yang Zhang, Jiabao Ji, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang

CoRR, April, 2025

DFM: Dialogue foundation model for universal large-scale dialogue-oriented task learning.

Zhi Chen, Da Ma, Hanqi Li, Lu Chen, Jiabao Ji, Yuncong Liu, Bei Chen, Mengyue Wu, Su Zhu, Xin Dong, Fujiang Ge, Qingliang Miao, Jian-Guang Lou, Shuai Fan, Kai Yu

AI Open, 2025

2024

Improving Diffusion Models for Scene Text Editing with Dual Encoders.

Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian L. Price, Shiyu Chang

Trans. Mach. Learn. Res., 2024

An exploratory study on just-in-time multi-programming-language bug prediction.

Zengyang Li, Jiabao Ji, Peng Liang, Ran Mo, Hui Liu

Inf. Softw. Technol., 2024

Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing.

Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang

CoRR, 2024

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.

Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang

CoRR, 2024

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference.

Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Kompella, Sijia Liu, Shiyu Chang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing.

Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

2023

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models.

Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang

Proceedings of the International Conference on Machine Learning, 2023

2022

Controlling the Focus of Pretrained Language Generation Models.

Jiabao Ji, Yoon Kim, James R. Glass, Tianxing He

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

WebSRC: A Dataset for Web-Based Structural Reading Comprehension.

Xingyu Chen, Zihan Zhao, Lu Chen, Jiabao Ji, Danyang Zhang, Ao Luo, Yuxuan Xiong, Kai Yu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021