Examining the Ordering of Rhetorical Strategies in Persuasive Requests. - Omar Shaikh; Jiaao Chen; Jon Saad-Falcon; Polo Chau; Diyi Yang (EMNLP (Findings), 2020)

PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing. - Jon Saad-Falcon; Omar Shaikh; Zijie J. Wang; Austin P. Wright; Sasha Richardson; Duen Horng Chau (CoRR, 2020)

Mapping Researchers with PeopleMap. - Jon Saad-Falcon; Omar Shaikh; Zijie J. Wang; Austin P. Wright; Sasha Richardson; Duen Horng Chau (CoRR, 2020)

EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. - Omar Shaikh; Jon Saad-Falcon; Austin P. Wright; Nilaksh Das; Scott Freitas; Omar Isaac Asensio; Duen Horng Chau (CHI Extended Abstracts, 2021)

Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes. - Austin P. Wright; Caleb Ziems; Haekyu Park; Jon Saad-Falcon; Duen Horng Chau; Diyi Yang; Maria Tomprou (CoRR, 2021)

A Search Engine for Discovery of Biomedical Challenges and Directions. - 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 (CoRR, 2021)

Argo Scholar: Interactive Visual Exploration of Literature in Browsers. - Kevin Li; Haoyang Yang; Anish Upadhayay; Zhiyan Zhou; Jon Saad-Falcon; Duen Horng Chau (CoRR, 2021)

A Search Engine for Discovery of Scientific Challenges and Directions. - 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 (AAAI, 2022)

Visual Exploration of Literature with Argo Scholar. - Kevin Li; Haoyang Yang; Evan Montoya; Anish Upadhayay; Zhiyan Zhou; Jon Saad-Falcon; Duen Horng Chau (CIKM, 2022)

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. - Keshav Santhanam; Omar Khattab; Jon Saad-Falcon; Christopher Potts; Matei Zaharia (NAACL-HLT, 2022)

Evaluation of Argo Scholar with Observational Study. - Kevin Li; Haoyang Yang; Evan Montoya; Anish Upadhayay; Zhiyan Zhou; Jon Saad-Falcon; Duen Horng Chau (CoRR, 2022)

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. - Keshav Santhanam; Jon Saad-Falcon; Martin Franz; Omar Khattab; Avi Sil; Radu Florian; Md. Arafat Sultan; Salim Roukos; Matei Zaharia; Christopher Potts (ACL (Findings), 2023)

Embedding Recycling for Language Models. - Jon Saad-Falcon; Amanpreet Singh; Luca Soldaini; Mike D'Arcy; Arman Cohan; Doug Downey (EACL (Findings), 2023)

UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers. - Jon Saad-Falcon; Omar Khattab; Keshav Santhanam; Radu Florian; Martin Franz; Salim Roukos; Avirup Sil; Md. Arafat Sultan; Christopher Potts (EMNLP, 2023)

PDFTriage: Question Answering over Long, Structured Documents. - Jon Saad-Falcon; Joe Barrow; Alexa F. Siu; Ani Nenkova; Ryan A. Rossi; Franck Dernoncourt (CoRR, 2023)

PDFTriage: Question Answering over Long, Structured Documents. - Jon Saad-Falcon; Joe Barrow; Alexa F. Siu; Ani Nenkova; Seunghyun Yoon 002; Ryan A. Rossi; Franck Dernoncourt (EMNLP (Industry Track), 2024)

Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. - Jon Saad-Falcon; Daniel Y. Fu; Simran Arora; Neel Guha; Christopher Ré (ICML, 2024)

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems. - Jon Saad-Falcon; Omar Khattab; Christopher Potts; Matei Zaharia (NAACL-HLT, 2024)

Archon: An Architecture Search Framework for Inference-Time Techniques. - 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 (CoRR, 2024)

LMUnit: Fine-grained Evaluation with Natural Language Unit Tests. - Jon Saad-Falcon; Rajan Vivek; William Berrios; Nandita Shankar Naik; Matija Franklin; Bertie Vidgen; Amanpreet Singh; Douwe Kiela; Shikib Mehri (CoRR, 2024)

Think Deep, Think Fast: Investigating Efficiency of Verifier-free Inference-time-scaling Methods. - Junlin Wang; Shang Zhu; Jon Saad-Falcon; Ben Athiwaratkun; Qingyang Wu; Jue Wang; Shuaiwen Leon Song; Ce Zhang 001; Bhuwan Dhingra; James Zou 001 (CoRR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)

Shrinking the Generation-Verification Gap with Weak Verifiers. - 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 (CoRR, 2025)