Kaiqu Liang

According to our database, Kaiqu Liang authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models.

Kaiqu Liang, Haimin Hu, Xuandong Zhao, Dawn Song, Thomas L. Griffiths, Jaime Fernández Fisac

CoRR, July, 2025

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems.

Rui Ye, Keduan Huang, Qimin Wu, Yuzhu Cai, Tian Jin, Xianghe Pang, Xiangrui Liu, Jiaqi Su, Chen Qian, Bohan Tang, Kaiqu Liang, Jiaao Chen, Yue Hu, Zhenfei Yin, Rongye Shi, Bo An, Yang Gao, Wenjun Wu, Lei Bai, Siheng Chen

CoRR, May, 2025

RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation.

Kaiqu Liang, Haimin Hu, Ryan Liu, Thomas L. Griffiths, Jaime Fernández Fisac

CoRR, January, 2025

2024

Introspective Planning: Guiding Language-Enabled Agents to Refine Their Own Uncertainty.

Kaiqu Liang, Zixu Zhang, Jaime Fernández Fisac

CoRR, 2024

Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots.

Haimin Hu, Gabriele Dragotto, Zixu Zhang, Kaiqu Liang, Bartolomeo Stellato, Jaime Fernández Fisac

Proceedings of the Robotics: Science and Systems XX, 2024

CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs.

Zirui Wang, Mengzhou Xia, Luxi He, Howard Chen, Yitao Liu, Richard Zhu, Kaiqu Liang, Xindi Wu, Haotian Liu, Sadhika Malladi, Alexis Chevalier, Sanjeev Arora, Danqi Chen

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

Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity.

Kaiqu Liang, Zixu Zhang, Jaime F. Fisac

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

2023

Simple Baselines for Interactive Video Retrieval with Questions and Answers.

Kaiqu Liang, Samuel Albanie

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Path Independent Equilibrium Models Can Better Exploit Test-Time Computation.

Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B. Grosse

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022