Cox, David Daniel

8 publications

NeurIPS 2025 Activated LoRA: Fine-Tuned LLMs for Intrinsics Kristjan Greenewald, Luis A. Lastras, Thomas Parnell, Vraj Shah, Lucian Popa, Giulio Zizzo, Chulaka Gunasekara, Ambrish Rawat, David Daniel Cox

ICML 2025 Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Daniel Cox, Chuang Gan

ICLR 2025 Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A Hansen, James R. Glass, David Daniel Cox, Rameswar Panda, Rogerio Feris, Alan Ritter

ICLR 2024 SALMON: Self-Alignment with Instructable Reward Models Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Daniel Cox, Yiming Yang, Chuang Gan

ICLR 2023 Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness Joel Dapello, Kohitij Kar, Martin Schrimpf, Robert Baldwin Geary, Michael Ferguson, David Daniel Cox, James J. DiCarlo

ICLR 2023 Learning to Grow Pretrained Models for Efficient Transformer Training Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim

CoRL 2022 Embodied Concept Learner: Self-Supervised Learning of Concepts and Mapping Through Instruction Following Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan

ICLR 2018 On the Information Bottleneck Theory of Deep Learning Andrew Michael Saxe, Yamini Bansal, Joel Dapello, Madhu Advani, Artemy Kolchinsky, Brendan Daniel Tracey, David Daniel Cox