Jacob P. Portes

12 papers A* 3Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
KARL: Knowledge Agents via Reinforcement Learning.
CoRR
Jonathan D. Chang, Andrew Drozdov, Shubham Toshniwal, Owen Oertell, Alexander Trott, Jacob P. Portes, Abhay Gupta, Pallavi Koppol, Ashutosh Baheti, Sean Kulinski, Ivan Zhou, Irene Dea, Krista Opsahl-Ong, Simon Favreau-Lessard, Sean Owen, Jose Javier Gonzalez Ortiz, Arnav Singhvi, Xabi Andrade, Cindy Wang, Kartik Sreenivasan, Sam Havens, Jialu Liu, Peyton DeNiro, Wen Sun, Michael Bendersky, Jonathan Frankle
2025 J jnl
Retrieval Capabilities of Large Language Models Scale with Pretraining FLOPs.
CoRR
Jacob P. Portes, Connor Jennings, Erica Ji Yuen, Sasha Doubov, Michael Carbin
2024 A* conf
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws.
ICML
Nikhil Sardana, Jacob P. Portes, Sasha Doubov, Jonathan Frankle
2024 J jnl
LoRA Learns Less and Forgets Less.
CoRR
Dan Biderman, Jose Javier Gonzalez Ortiz, Jacob P. Portes, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John P. Cunningham
2024 J jnl
LoRA Learns Less and Forgets Less.
Trans. Mach. Learn. Res.
Dan Biderman, Jacob P. Portes, Jose Javier Gonzalez Ortiz, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John Patrick Cunningham
2024 J jnl
Long Context RAG Performance of Large Language Models.
CoRR
Quinn Leng, Jacob P. Portes, Sam Havens, Matei Zaharia, Michael Carbin
2023 J jnl
LIMIT: Less Is More for Instruction Tuning Across Evaluation Paradigms.
CoRR
Aditi Jha, Sam Havens, Jeremy Dohmann, Alex Trott, Jacob P. Portes
2023 A* conf
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining.
NeurIPS
Jacob P. Portes, Alexander Trott, Sam Havens, Daniel King, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle
2023 J jnl
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining.
CoRR
Jacob P. Portes, Alex Trott, Sam Havens, Daniel King, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle
2022 A* conf
Distinguishing Learning Rules with Brain Machine Interfaces.
NeurIPS
Jacob P. Portes, Christian Schmid, James M. Murray
2022 J jnl
Distinguishing Learning Rules with Brain Machine Interfaces.
CoRR
Jacob P. Portes, Christian Schmid, James M. Murray
2022 J jnl
Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates.
CoRR
Jacob P. Portes, Davis W. Blalock, Cory Stephenson, Jonathan Frankle