Jiabao Ji

According to our database1, Jiabao Ji authored at least 17 papers between 2021 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Navigating the Clutter: Waypoint-Based Bi-Level Planning for Multi-Robot Systems.
CoRR, April, 2026

How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings.
CoRR, April, 2026

ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.
Trans. Mach. Learn. Res., 2026

2025
DEEPAMBIGQA: Ambiguous Multi-hop Questions for Benchmarking LLM Answer Completeness.
CoRR, November, 2025

HarnessLLM: Automatic Testing Harness Generation via Reinforcement Learning.
CoRR, November, 2025

HardTests: Synthesizing High-Quality Test Cases for LLM Coding.
CoRR, May, 2025

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners.
CoRR, May, 2025

DFM: Dialogue foundation model for universal large-scale dialogue-oriented task learning.
AI Open, 2025

Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Improving Diffusion Models for Scene Text Editing with Dual Encoders.
Trans. Mach. Learn. Res., 2024

An exploratory study on just-in-time multi-programming-language bug prediction.
Inf. Softw. Technol., 2024

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing.
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.
Proceedings of the International Conference on Machine Learning, 2023

2022
Controlling the Focus of Pretrained Language Generation Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
WebSRC: A Dataset for Web-Based Structural Reading Comprehension.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021


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