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ORCIDJon Saad-Falcon
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2020 – today
- 2025
[c12]Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Kumar Guha, Estefany Kelly Buchanan, Mayee F. Chen, Neel Guha, Christopher Ré, Azalia Mirhoseini:
An Architecture Search Framework for Inference-Time Techniques. ICML 2025- [i21]Junlin Wang, Shang Zhu, Jon Saad-Falcon, Ben Athiwaratkun, Qingyang Wu, Jue Wang, Shuaiwen Leon Song, Ce Zhang, Bhuwan Dhingra, James Zou:
Think Deep, Think Fast: Investigating Efficiency of Verifier-free Inference-time-scaling Methods. CoRR abs/2504.14047 (2025) - [i20]Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer
, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt:
OpenThoughts: Data Recipes for Reasoning Models. CoRR abs/2506.04178 (2025) - [i19]Jon Saad-Falcon, Estefany Kelly Buchanan, Mayee F. Chen, Tzu-Heng Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott W. Linderman, Azalia Mirhoseini, Christopher Ré:
Shrinking the Generation-Verification Gap with Weak Verifiers. CoRR abs/2506.18203 (2025) - [i18]Jon Saad-Falcon, Avanika Narayan, Hakki Orhun Akengin, J. Wes Griffin, Herumb Shandilya, Adrian Gamarra Lafuente, Medhya Goel, Rebecca Joseph, Shlok Natarajan, Etash Kumar Guha, Shang Zhu, Ben Athiwaratkun, John Hennessy, Azalia Mirhoseini, Christopher Ré:
Intelligence per Watt: Measuring Intelligence Efficiency of Local AI. CoRR abs/2511.07885 (2025) - 2024
- [c11]Jon Saad-Falcon, Joe Barrow, Alexa F. Siu, Ani Nenkova, Seunghyun Yoon, Ryan A. Rossi, Franck Dernoncourt:
PDFTriage: Question Answering over Long, Structured Documents. EMNLP (Industry Track) 2024: 153-169 - [c10]Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré:
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. ICML 2024 - [c9]Jon Saad-Falcon, Omar Khattab, Christopher Potts, Matei Zaharia:
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems. NAACL-HLT 2024: 338-354 - [i17]Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré:
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. CoRR abs/2402.07440 (2024) - [i16]Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Kumar Guha, Estefany Kelly Buchanan, Mayee F. Chen, Neel Guha, Christopher Ré, Azalia Mirhoseini:
Archon: An Architecture Search Framework for Inference-Time Techniques. CoRR abs/2409.15254 (2024) - [i15]Jon Saad-Falcon, Rajan Vivek, William Berrios, Nandita Shankar Naik, Matija Franklin, Bertie Vidgen, Amanpreet Singh, Douwe Kiela, Shikib Mehri:
LMUnit: Fine-grained Evaluation with Natural Language Unit Tests. CoRR abs/2412.13091 (2024) - 2023
- [c8]Keshav Santhanam, Jon Saad-Falcon, Martin Franz, Omar Khattab, Avi Sil, Radu Florian, Md. Arafat Sultan, Salim Roukos, Matei Zaharia, Christopher Potts:
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. ACL (Findings) 2023: 11613-11628 - [c7]Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey:
Embedding Recycling for Language Models. EACL (Findings) 2023: 1888-1908 - [c6]Jon Saad-Falcon, Omar Khattab, Keshav Santhanam, Radu Florian, Martin Franz, Salim Roukos, Avirup Sil, Md. Arafat Sultan, Christopher Potts:
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers. EMNLP 2023: 11265-11279 - [i14]Jon Saad-Falcon, Omar Khattab, Keshav Santhanam, Radu Florian, Martin Franz, Salim Roukos, Avirup Sil, Md. Arafat Sultan, Christopher Potts:
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers. CoRR abs/2303.00807 (2023) - [i13]Jon Saad-Falcon, Joe Barrow, Alexa F. Siu, Ani Nenkova, Ryan A. Rossi, Franck Dernoncourt:
PDFTriage: Question Answering over Long, Structured Documents. CoRR abs/2309.08872 (2023) - [i12]Jon Saad-Falcon, Omar Khattab, Christopher Potts, Matei Zaharia:
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems. CoRR abs/2311.09476 (2023) - 2022
- [c5]Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope:
A Search Engine for Discovery of Scientific Challenges and Directions. AAAI 2022: 11982-11990 - [c4]Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau:
Visual Exploration of Literature with Argo Scholar. CIKM 2022: 4912-4916 - [c3]Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia:
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. NAACL-HLT 2022: 3715-3734 - [i11]Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey:
Embedding Recycling for Language Models. CoRR abs/2207.04993 (2022) - [i10]Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau:
Evaluation of Argo Scholar with Observational Study. CoRR abs/2210.13510 (2022) - [i9]Keshav Santhanam, Jon Saad-Falcon, Martin Franz, Omar Khattab, Avirup Sil, Radu Florian, Md. Arafat Sultan, Salim Roukos, Matei Zaharia, Christopher Potts:
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. CoRR abs/2212.01340 (2022) - 2021
- [c2]Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau:
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CHI Extended Abstracts 2021: 458:1-458:7 - [i8]Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau:
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CoRR abs/2103.16435 (2021) - [i7]Austin P. Wright, Caleb Ziems, Haekyu Park, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang, Maria Tomprou:
Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes. CoRR abs/2106.11846 (2021) - [i6]Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope:
A Search Engine for Discovery of Biomedical Challenges and Directions. CoRR abs/2108.13751 (2021) - [i5]Kevin Li, Haoyang Yang, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau:
Argo Scholar: Interactive Visual Exploration of Literature in Browsers. CoRR abs/2110.14060 (2021) - [i4]Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia:
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. CoRR abs/2112.01488 (2021) - 2020
- [c1]Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Polo Chau, Diyi Yang:
Examining the Ordering of Rhetorical Strategies in Persuasive Requests. EMNLP (Findings) 2020: 1299-1306 - [i3]Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau:
PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing. CoRR abs/2006.06105 (2020) - [i2]Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau:
Mapping Researchers with PeopleMap. CoRR abs/2009.00091 (2020) - [i1]Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang:
Examining the Ordering of Rhetorical Strategies in Persuasive Requests. CoRR abs/2010.04625 (2020)
Coauthor Index
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