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 (NeurIPS, 2022)

Simple Baselines for Interactive Video Retrieval with Questions and Answers. - Kaiqu Liang; Samuel Albanie (ICCV, 2023)

Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity. - Kaiqu Liang; Zixu Zhang; Jaime F. Fisac (NeurIPS, 2024)

CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs. - Zirui Wang; Mengzhou Xia; Luxi He; Howard Chen 003; Yitao Liu; Richard Zhu; Kaiqu Liang; Xindi Wu; Haotian Liu; Sadhika Malladi; Alexis Chevalier; Sanjeev Arora; et al. (NeurIPS, 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 (Robotics: Science and Systems, 2024)

Introspective Planning: Guiding Language-Enabled Agents to Refine Their Own Uncertainty. - Kaiqu Liang; Zixu Zhang; Jaime Fernández Fisac (CoRR, 2024)

RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation. - Kaiqu Liang; Haimin Hu; Ryan Liu 001; Thomas L. Griffiths 001; Jaime Fernández Fisac (CoRR, 2025)

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems. - Rui Ye 001; Keduan Huang; Qimin Wu; Yuzhu Cai; Tian Jin; Xianghe Pang; Xiangrui Liu; Jiaqi Su; Chen Qian; Bohan Tang; Kaiqu Liang; Jiaao Chen; et al. (CoRR, 2025)

Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models. - Kaiqu Liang; Haimin Hu; Xuandong Zhao; Dawn Song; Thomas L. Griffiths 001; Jaime Fernández Fisac (CoRR, 2025)