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David Daniel Cox
IBM Director, MIT-IBM Watson AI Lab, International Business Machines
Joined
December 2017
Names
David Daniel Cox
,
David Cox
Emails
****@fas.harvard.edu
(Confirmed)
,
****@ibm.com
(Confirmed)
Personal Links
DBLP
Career & Education History
IBM Director, MIT-IBM Watson AI Lab
International Business Machines
(ibm.com)
2018
–
Present
Associate Professor
Harvard University
(fas.harvard.edu)
2012
–
2018
Advisors, Relations & Conflicts
CoPI
Terrance Boult
2014
–
Present
Advisee
Ruth Cathering Fong
2014
–
2017
Coauthor
Walter Scheirer
2011
–
2014
Coauthor
Eleonora Vig
2011
–
2014
Coauthor
Moncef Gabbouj
2011
–
2014
Coauthor
Anderson Rocha
2011
–
2014
Coauthor
Chuan-yung Tsai
2011
–
2014
Coauthor
Dacheng Tao
2013
–
2013
Expertise
No areas of expertise listed
Publications
Rank-efficient Mixture of Experts for LLM Finetuning
Francesco S. Carzaniga
,
Michael Hersche
,
David Daniel Cox
,
Abbas Rahimi
ICLR 2026 Conference Withdrawn Submission
Readers:
Everyone
EvoScale: Evolutionary Test-Time Scaling for Software Engineering
Guangtao Zeng
,
Maohao Shen
,
Delin Chen
,
Zhenting Qi
,
Subhro Das
,
Dan Gutfreund
,
David Daniel Cox
,
Gregory W. Wornell
,
Wei Lu
,
Zhang-Wei Hong
,
Chuang Gan
Submitted to ICLR 2026
Readers:
Everyone
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
NeurIPS 2025 poster
Readers:
Everyone
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
ICML 2025 poster
Readers:
Everyone
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning
Soumya Ghosh
,
Runqian Wang
,
David Daniel Cox
,
Diego Antognini
,
Aude Oliva
,
Rogerio Feris
,
Leonid Karlinsky
NeurIPS 2024
Readers:
Everyone
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 2025 Poster
Readers:
Everyone
Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler
Yikang Shen
,
Matthew Stallone
,
Mayank Mishra
,
Gaoyuan Zhang
,
Shawn Tan
,
Aditya Prasad
,
Adriana Meza Soria
,
David Daniel Cox
,
Rameswar Panda
ICLR 2025 Conference Withdrawn Submission
Readers:
Everyone
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning
Runqian Wang
,
Soumya Ghosh
,
David Daniel Cox
,
Diego Antognini
,
Aude Oliva
,
Rogerio Feris
,
Leonid Karlinsky
NeurIPS 2024 poster
Readers:
Everyone
Self-Specialization: Uncovering Latent Expertise within Large Language Models
Junmo Kang
,
Hongyin Luo
,
Yada Zhu
,
James R. Glass
,
David Daniel Cox
,
Alan Ritter
,
Rogerio Feris
,
Leonid Karlinsky
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
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 2024 poster
Readers:
Everyone
View all 30 publications
Co-Authors
Abbas Rahimi
Abhishek Bhandwaldar
Aditya Prasad
Adriana Meza Soria
Aidan Curtis
Akash Srivastava
Alan Ritter
Alexander H. Liu
Ambrish Rawat
Andrew M Saxe
Antonio Torralba
Aude Oliva
Cheng-I Lai
Chuan-Yung Tsai
Chuang Gan
Chulaka Gunasekara
Chun-Fu Chen
Cole Lincoln Hurwitz
Damian Mrowca
Dan Gutfreund
Daniel Bear
Daniel LK Yamins
Daniel Yamins
David Harwath
Delin Chen
View all 129 co-authors