WebSRC: A Dataset for Web-Based Structural Reading Comprehension. - Xingyu Chen; Zihan Zhao; Lu Chen 002; Jiabao Ji; Danyang Zhang; Ao Luo; Yuxuan Xiong; Kai Yu 004 (EMNLP (1), 2021)

Controlling the Focus of Pretrained Language Generation Models. - Jiabao Ji; Yoon Kim; James R. Glass; Tianxing He (ACL (Findings), 2022)

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. - Guanhua Zhang; Jiabao Ji; Yang Zhang 001; Mo Yu; Tommi S. Jaakkola; Shiyu Chang (ICML, 2023)

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. - Jiabao Ji; Bairu Hou; Zhen Zhang; Guanhua Zhang; Wenqi Fan; Qing Li 001; Yang Zhang 001; Gaowen Liu; Sijia Liu 001; Shiyu Chang (NAACL (Short Papers), 2024)

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference. - Jiabao Ji; Yujian Liu; Yang Zhang 001; Gaowen Liu; Ramana Kompella; Sijia Liu 001; Shiyu Chang (NeurIPS, 2024)

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. - Yujian Liu; Jiabao Ji; Tong Yu 001; Ryan A. Rossi; Sungchul Kim; Handong Zhao; Ritwik Sinha; Yang Zhang 001; Shiyu Chang (CoRR, 2024)

Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. - Jiabao Ji; Bairu Hou; Alexander Robey; George J. Pappas; Hamed Hassani; Yang Zhang 001; Eric Wong 001; Shiyu Chang (CoRR, 2024)

An exploratory study on just-in-time multi-programming-language bug prediction. - Zengyang Li; Jiabao Ji; Peng Liang 001; Ran Mo; Hui Liu 004 (Inf. Softw. Technol., 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)

DFM: Dialogue foundation model for universal large-scale dialogue-oriented task learning. - Zhi Chen 006; Da Ma; Hanqi Li; Lu Chen 002; Jiabao Ji; Yuncong Liu; Bei Chen; Mengyue Wu; Su Zhu; Xin Dong; Fujiang Ge; Qingliang Miao; et al. (AI Open, 2025)

ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning. - Bairu Hou; Yang Zhang 001; Jiabao Ji; Yujian Liu; Kaizhi Qian; Jacob Andreas; Shiyu Chang (CoRR, 2025)

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners. - Jiabao Ji; Yongchao Chen; Yang Zhang 001; Ramana Rao Kompella; Chuchu Fan; Gaowen Liu; Shiyu Chang (CoRR, 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, 2025)