Ivan Lee

14 papers A* 2A 1B 1Misc 1Journal 3Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques.
NAACL (Findings)
Ivan Lee, Taylor Berg-Kirkpatrick
2025 J jnl
Readability ≠ Learnability: Rethinking the Role of Simplicity in Training Small Language Models.
CoRR
Ivan Lee, Taylor Berg-Kirkpatrick
2024 A* conf
Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability.
ICLR
Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick
2023 Misc conf
Empowering Azure Storage with RDMA.
NSDI
Wei Bai, Shanim Sainul Abdeen, Ankit Agrawal, Krishan Kumar Attre, Paramvir Bahl, Ameya Bhagat, Gowri Bhaskara, Tanya Brokhman, Lei Cao, Ahmad Cheema, Rebecca Chow, Jeff Cohen, Mahmoud Elhaddad, Vivek Ette, Igal Figlin, Daniel Firestone, Mathew George, Ilya German, Lakhmeet Ghai, Eric Green, Albert G. Greenberg, Manish Gupta, Randy Haagens, Matthew Hendel, Ridwan Howlader, Neetha John, Julia Johnstone, Tom Jolly, Greg Kramer, David Kruse, Ankit Kumar, Erica Lan, Ivan Lee, Avi Levy, Marina Lipshteyn, Xin Liu, Chen Liu, Guohan Lu, Yuemin Lu, Xiakun Lu, Vadim Makhervaks, Ulad Malashanka, David A. Maltz, Ilias Marinos, Rohan Mehta, Sharda Murthi, Anup Namdhari, Aaron Ogus, Jitendra Padhye, Madhav Pandya, Douglas Phillips, Adrian Power, Suraj Puri, Shachar Raindel, Jordan Rhee, Anthony Russo, Maneesh Sah, Ali Sheriff, Chris Sparacino, Ashutosh Srivastava, Weixiang Sun, Nick Swanson, Fuhou Tian, Lukasz Tomczyk, Vamsi Vadlamuri, Alec Wolman, Ying Xie, Joyce Yom, Lihua Yuan, Yanzhao Zhang, Brian Zill
2023 J jnl
Exploring the Relationship Between Model Architecture and In-Context Learning Ability.
CoRR
Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick
2022 — conf
HeLo: Learning-Free Lookahead Decoding for Conversation Infilling.
EMNLP (Findings)
Ivan Lee, Taylor Berg-Kirkpatrick
2022 — conf
Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context.
NAACL-HLT (Findings)
Daniel Spokoyny, Ivan Lee, Zhao Jin, Taylor Berg-Kirkpatrick
2021 J jnl
Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context.
CoRR
Daniel Spokoyny, Ivan Lee, Zhao Jin, Taylor Berg-Kirkpatrick
2019 A* conf
Validating datacenters at scale.
SIGCOMM
Karthick Jayaraman, Nikolaj S. Bjørner, Jitu Padhye, Amar Agrawal, Ashish Bhargava, Paul-Andre C. Bissonnette, Shane Foster, Andrew Helwer, Mark Kasten, Ivan Lee, Anup Namdhari, Haseeb Niaz, Aniruddha Parkhi, Hanukumar Pinnamraju, Adrian Power, Neha Milind Raje, Parag Sharma
2017 — conf
Research complexity of Australian universities.
PACIS
Ivan Lee
2004 — conf
Centralized Peer-to-Peer Streaming with PFGS Video Codec.
PCM (1)
Ivan Lee, Ling Guan
2004 — conf
Content-based image retrieval with automated relevance feedback over distributed peer-to-peer network.
ISCAS (2)
Ivan Lee, Ling Guan
2004 A conf
Semi-automated relevance feedback for distributed content based image retrieval.
ICME
Ivan Lee, Ling Guan
2002 B conf
A scalable video codec design for streaming over distributed peer-to-peer network.
GLOBECOM
Ivan Lee, Ling Guan