Olmo Hybrid: From Theory to Practice

William Merrill^ω, Yanhong Li^ω, Tyler Romero^ω, Anej Svete^ω, Caia Costello^ω, Pradeep Dasigi, Dirk Groeneveld, David Heineman, Bailey Kuehl, Nathan Lambert, Chuan Li, Kyle Lo, Saumya Malik, DJ Matusz, Benjamin Minixhofer, Jacob Morrison, Luca Soldaini, Finbarr Timbers, Pete Walsh, Noah A. Smith, Hannaneh Hajishirzi, Ashish Sabharwal^ω

Olmix: A Framework for Data Mixing Throughout LM Development

Mayee F. Chen, Tyler Murray, David Heineman, Matt Jordan, Hannaneh Hajishirzi, Christopher Ré, Luca Soldaini, Kyle Lo

How2Everything: Mining the Web for How-To Procedures to Evaluate and Improve LLMs

Yapei Chang, Kyle Lo, Mohit Iyyer, Luca Soldaini

Synthesizing scientific literature with retrieval-augmented language models

Akari Asai, Jacqueline He, Rulin Shao, Weijia Shi, Amanpreet Singh, Joseph Chee Chang, Kyle Lo, Luca Soldaini, Sergey Feldman, Mike D'Arcy, David Wadden, Matt Latzke, Minyang Tian, Pan Ji, Shengyan Liu, Hao Tong, Bohao Wu, Yanyu Xiong, Luke Zettlemoyer, Graham Neubig, Dan Weld, Doug Downey, Wen-tau Yih, Pang Wei Koh, Hannaneh Hajishirzi

Nature 2026

Overview of the TREC 2025 RAGTIME Track

Dawn Lawrie, Sean MacAvaney, James Mayfield, Luca Soldaini, Eugene Yang

NeuCLIRTech: Chinese Monolingual and Cross-Language Information Retrieval Evaluation in a Challenging Domain

Dawn Lawrie, James Mayfield, Eugene Yang, Andrew Yates, Sean MacAvaney, Ronak Pradeep, Scott Miller, Paul McNamee, Luca Soldaini

Bolmo: Byteifying the Next Generation of Language Models

Benjamin Minixhofer, Tyler Murray, Tomasz Limisiewicz, Anna Korhonen, Luke Zettlemoyer, Noah A. Smith, Edoardo M. Ponti, Luca Soldaini, Valentin Hofmann

Olmo 3

Olmo Team: Allyson Ettinger^ω, Amanda Bertsch^ω, Bailey Kuehl^ω, David Graham^ω, David Heineman^ω, Dirk Groeneveld^ω, Faeze Brahman^ω, Finbarr Timbers^ω, Hamish Ivison^ω, Jacob Morrison^ω, Jake Poznanski^ω, Kyle Lo^ω, Luca Soldaini^ω, Matt Jordan^ω, Mayee Chen^ω, Michael Noukhovitch^ω, Nathan Lambert^ω, Pete Walsh^ω, Pradeep Dasigi^ω, Robert Berry^ω, Saumya Malik^ω, Saurabh Shah^ω, Scott Geng^ω, Shane Arora^ω, Shashank Gupta^ω, Taira Anderson^ω, Teng Xiao^ω, Tyler Murray^ω, Tyler Romero^ω, Victoria Graf^ω, Akari Asai, Akshita Bhagia, Alex Wettig, Alisa Liu, Aman Rangapur, Chloe Anastasiades, Costa Huang, Dustin Schwenk, Harsh Trivedi, Ian Magnusson, Jaron Lochner, Jiacheng Liu, Lj Miranda, Maarten Sap, Malia Morgan, Michael Schmitz, Michal Guerquin, Michael Wilson, Regan Huff, Ronan Le Bras, Rui Xin, Rulin Shao, Sam Skjonsberg, Shannon Zejiang Shen, Shuyue Stella Li, Tucker Wilde, Valentina Pyatkin, Will Merrill, Yapei Chang, Yuling Gu, Zhiyuan Zeng, Ashish Sabharwal, Luke Zettlemoyer, Pang Wei Koh, Ali Farhadi, Noah A. Smith^ω, Hannaneh Hajishirzi^ω

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Rulin Shao^ω, Akari Asai^ω, Shannon Zejiang Shen^ω, Hamish Ivison^ω, Varsha Kishore^ω, Jingming Zhuo^ω, Xinran Zhao, Molly Park, Samuel G. Finlayson, David Sontag, Tyler Murray, Sewon Min, Pradeep Dasigi, Luca Soldaini, Faeze Brahman, Wen-tau Yih, Tongshuang Wu, Luke Zettlemoyer, Yoon Kim, Hannaneh Hajishirzi, Pang Wei Koh

olmOCR 2: Unit Test Rewards for Document OCR

Jake Poznanski^α, Luca Soldaini^α, Kyle Lo^α

FlexOlmo: Open Language Models for Flexible Data Use

Weijia Shi^ω, Akshita Bhagia^ω, Kevin Farhat^ω, Niklas Muennighoff, Pete Walsh, Jacob Morrison, Dustin Schwenk, Shayne Longpre, Jake Poznanski, Allyson Ettinger, Daogao Liu, Margaret Li, Dirk Groeneveld, Mike Lewis, Wen-tau Yih, Luca Soldaini, Kyle Lo, Noah A. Smith, Luke Zettlemoyer, Pang Wei Koh, Hannaneh Hajishirzi, Ali Farhadi, Sewon Min

NeurIPS 2025

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text

Nikhil Kandpal, Brian Lester, Colin Raffel, Sebastian Majstorovic, Stella Biderman, Baber Abbasi, Luca Soldaini, Enrico Shippole, A. Feder Cooper, Aviya Skowron, John Kirchenbauer, Shayne Longpre, Lintang Sutawika, Alon Albalak, Zhenlin Xu, Guilherme Penedo, Loubna Ben Allal, Elie Bakouch, John David Pressman, Honglu Fan, Dashiell Stander, Guangyu Song, Aaron Gokaslan, Tom Goldstein, Brian R. Bartoldson, Bhavya Kailkhura, Tyler Murray

NeurIPS 2025

2 OLMo 2 Furious

Olmo Team: Pete Walsh^ω, Luca Soldaini^ω, Dirk Groeneveld^ω, Kyle Lo^ω, Shane Arora^ω, Akshita Bhagia^ω, Yuling Gu^ω, Shengyi Huang^ω, Matt Jordan^ω, Nathan Lambert^ω, Dustin Schwenk^ω, Oyvind Tafjord^ω, Taira Anderson, David Atkinson, Faeze Brahman, Christopher Clark, Pradeep Dasigi, Nouha Dziri, Michal Guerquin, Hamish Ivison, Pang Wei Koh, Jiacheng Liu, Saumya Malik, William Merrill, Lester James V. Miranda, Jacob Morrison, Tyler Murray, Crystal Nam, Valentina Pyatkin, Aman Rangapur, Michael Schmitz, Sam Skjonsberg, David Wadden, Christopher Wilhelm, Michael Wilson, Luke Zettlemoyer, Ali Farhadi, Noah A. Smith^ω, Hannaneh Hajishirzi^ω

COLM 2025

Tülu 3: Pushing Frontiers in Open Language Model Post-Training

Nathan Lambert, Jacob Morrison, Valentina Pyatkin, Shengyi Huang, Hamish Ivison, Faeze Brahman, Lester James V. Miranda, Alisa Liu, Nouha Dziri, Xinxi Lyu, Yuling Gu, Saumya Malik, Victoria Graf, Jena D. Hwang, Jiangjiang Yang, Ronan Le Bras, Oyvind Tafjord, Chris Wilhelm, Luca Soldaini, Noah A. Smith, Yizhong Wang, Pradeep Dasigi, Hannaneh Hajishirzi

COLM 2025

Establishing Task Scaling Laws via Compute-Efficient Model Ladders

Akshita Bhagia^α, Jiacheng Liu^α, Alexander Wettig, David Heineman, Oyvind Tafjord, Ananya Harsh Jha, Luca Soldaini, Noah A. Smith, Dirk Groeneveld, Pang Wei Koh, Jesse Dodge, Hannaneh Hajishirzi

COLM 2025

Teaching Models to Understand (but not Generate) High-risk Data

Ryan Wang, Matthew Finlayson, Luca Soldaini, Swabha Swayamdipta, Robin Jia

COLM 2025

Computer-vision research powers surveillance technology

Pratyusha Ria Kalluri^α, William Agnew^α, Myra Cheng^α, Kentrell Owens^α, Luca Soldaini^α, Abeba Birhane^α

Nature 2025

OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens

Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, Yen-Sung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Cheng, Karen Farley, Sruthi Sreeram, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, Jesse Dodge

ACL 2025 System Demonstration

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Alexander Wettig, Kyle Lo, Sewon Min, Hannaneh Hajishirzi, Danqi Chen, Luca Soldaini

ICML 2025

DataDecide: How to Predict Best Pretraining Data with Small Experiments

Ian Magnusson^α, Nguyen Tai^α, Ben Bogin^α, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge

ICML 2025

olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models

Jake Poznanski^ω, Jon Borchardt, Jason Dunkelberger, Regan Huff, Daniel Lin, Aman Rangapur, Christopher Wilhelm, Kyle Lo^ω, Luca Soldaini^ω

DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students' Hand-Drawn Math Images

Sami Baral, Li Lucy, Ryan Knight, Alice Ng, Luca Soldaini, Neil T. Heffernan, Kyle Lo

NAACL 2025

FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions

Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn Lawrie, Luca Soldaini

NAACL 2025

OLMoE: Open Mixture-of-Experts Language Models

Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi

ICLR 2025

Language models scale reliably with over-training and on downstream tasks

Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Jenia Jitsev, Luca Soldaini, Alexandros G. Dimakis, Gabriel Ilharco, Pang Wei Koh, Shuran Song, Thomas Kollar, Yair Carmon^α, Achal Dave^α, Reinhard Heckel^α, Niklas Muennighoff^α, Ludwig Schmidt^α

ICLR 2025

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models

Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross Girshick, Ali Farhadi, Aniruddha Kembhavi

CVPR 2025

mFollowIR: A Multilingual Benchmark for Instruction Following in Information Retrieval

Orion Weller, Benjamin Chang, Eugene Yang, Mahsa Yarmohammadi, Sam Barham, Sean MacAvaney, Arman Cohan, Luca Soldaini, Benjamin Van Durme, Dawn Lawrie

ECIR 2025

RouterRetriever: Exploring the Benefits of Routing over Multiple Expert Embedding Models

Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo

AAAI 2025

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources

Shayne Longpre^α, Stella Biderman^α, Alon Albalak, Hailey Schoelkopf, Daniel McDuff, Sayash Kapoor, Kevin Klyman, Kyle Lo, Gabriel Ilharco, Nay San, Maribeth Rauh, Aviya Skowron, Bertie Vidgen, Laura Weidinger, Arvind Narayanan, Victor Sanh, David Adelani, Percy Liang, Rishi Bommasani, Peter Henderson, Sasha Luccioni, Yacine Jernite^α, Luca Soldaini^α

TMLR 2024

MathFish 🐟: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula

Li Lucy, Tal August, Rose E. Wang, Luca Soldaini, Courtney Allison, Kyle Lo

EMNLP 2024 Findings

DataComp-LM: In search of the next generation of training sets for language models

Jeffrey Li^ω, Alex Fang^ω, Georgios Smyrnis^ω, Maor Ivgi^ω, Matt Jordan, Samir Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Chandu, Thao Nguyen, Igor Vasiljevic, Sham Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave^ω, Ludwig Schmidt^ω, Vaishaal Shankar^ω

NeurIPS 2024 Datasets and Benchmarks Track

Paloma: A Benchmark for Evaluating Language Model Fit

Ian Magnusson, Akshita Bhagia, Valentin Hofmann, Luca Soldaini, Ananya Harsh Jha, Oyvind Tafjord, Dustin Schwenk, Evan Pete Walsh, Yanai Elazar, Kyle Lo, Dirk Groeneveld, Iz Beltagy, Hannaneh Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge

NeurIPS 2024 Datasets and Benchmarks Track

Accelerating Scientific Paper Skimming with Augmented Intelligence Through Customizable Faceted Highlights

Raymond Fok, Luca Soldaini, Cassidy Trier, Erin Bransom, Kelsey MacMillan, Evie Cheng, Hita Kambhamettu, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Andrew Head, Daniel S. Weld

ACM Transactions on Interactive Intelligent Systems 2024

Self-Directed Synthetic Dialogues and Revisions Technical Report

Nathan Lambert, Hailey Schoelkopf, Aaron Gokaslan, Luca Soldaini, Valentina Pyatkin, Louis Castricato

arXiv 2407.18421

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature

David Wadden^α, Kejian Shi^α, Jacob Morrison, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan

On the Evaluation of Machine-Generated Reports

James Mayfield, Eugene Yang, Dawn Lawrie, Sean MacAvaney, Paul McNamee, Douglas W. Oard, Luca Soldaini, Ian Soboroff, Orion Weller, Efsun Kayi, Kate Sanders, Marc Mason, Noah Hibbler

SIGIR 2024

KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions

Fangyuan Xu, Kyle Lo, Luca Soldaini, Bailey Kuehl, Eunsol Choi, David Wadden

ACL 2024 Findings

Dolma: An Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Luca Soldaini^ω, Rodney Kinney^ω, Akshita Bhagia^ω, Dustin Schwenk^ω, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo^ω

ACL 2024

OLMo: Accelerating the Science of Language Models

Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi

ACL 2024

AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters

Li Lucy, Suchin Gururangan, Luca Soldaini, Emma Strubell, David Bamman, Lauren Klein, Jesse Dodge

ACL 2024

When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets

Orion Weller, Kyle Lo, David Wadden, Dawn Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini

EACL 2024 Findings

What's In My Big Data?

Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hannaneh Hajishirzi, Noah A. Smith, Jesse Dodge

ICLR 2024

Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders

Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo

PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents

Kyle Lo^ω, Zejiang Shen^ω, Benjamin Newman^ω, Joseph Chee Chang^ω, Russell Authur, Erin Bransom, Stefan Candra, Yoganand Chandrasekhar, Regan Huff, Bailey Kuehl, Amanpreet Singh, Chris Wilhelm, Angele Zamarron, Marti A. Hearst, Daniel S. Weld, Doug Downey, Luca Soldaini^ω

EMNLP 2023 System Demonstration

A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents

Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo

EMNLP 2023

Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval

John Giorgi, Luca Soldaini, Bo Wang, Gary Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan

EMNLP 2023 Findings

Overview of the TREC 2023 NeuCLIR Track

Dawn Lawrie, Sean MacAvaney, James Mayfield, Paul McNamee, Douglas W. Oard, Luca Soldaini, Eugene Yang

TREC 2023

SCIM: Intelligent Skimming Support for Scientific Papers

Raymond Fok, Hita Kambhamettu, Luca Soldaini, Jonathan Bragg, Kyle Lo, Andrew Head, Marti A. Hearst, Daniel S. Weld

IUI 2023

Bound to the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms

Organizers of Queer in AI: Nathan Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jess de Jesus de Pinho Pinhal

AIES 2023

Queer In AI: A Case Study in Community-Led Participatory AI

Organizers of Queer in AI: Anaelia Ovalle^α, Arjun Subramonian^α, Ashwin Singh^α, Claas Voelcker^α, Danica J. Sutherland^α, Davide Locatelli^α, Eva Breznik^α, Filip Klubička^α, Hang Yuan^α, Hetvi J^α, Huan Zhang^α, Jaidev Shriram^α, Kruno Lehman^α, Luca Soldaini^α, Maarten Sap^α, Marc Peter Deisenroth^α, Maria Leonor Pacheco^α, Maria Ryskina^α, Martin Mundt^α, Melvin Selim Atay^α, Milind Agarwal^α, Nyx McLean^α, Pan Xu^α, A Pranav^α, Raj Korpan^α, Ruchira Ray^α, Sarah Mathew^α, Sarthak Arora^α, St John^α, Tanvi Anand^α, Vishakha Agrawal^α, William Agnew^α, Yanan Long^α, Zijie J. Wang^α, Zeerak Talat^α, Avijit Ghosh^α, Nathaniel Dennler^α, Michael Noseworthy^α, Sharvani Jha^α, Emi Baylor^α, Aditya Joshi^α, Natalia Y. Bilenko^α, Andrew McNamara^α, Raphael Gontijo-Lopes^α, Alex Markham^α, Evyn Dǒng^α, Jackie Kay^α, Manu Saraswat^α, Nikhil Vytla^α, Luke Stark^α

FAccT 2023

One-Shot Labeling for Automatic Relevance Estimation

Sean MacAvaney^α, Luca Soldaini^α

SIGIR 2023 Short Paper

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces

Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Christopher Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld

The Semantic Scholar Open Data Platform

Rodney Michael Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, R. Evans, Sergey Feldman, Joseph Gorney, D. Graham, F.Q. Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Christopher Newell, Smita Rao, Shaurya Rohatgi, P. Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, A. Tanaka, Alex D Wade, Linda M. Wagner, Lucy Lu Wang, Christopher Wilhelm, Caroline Wu, Jiangjiang Yang, A. Zamarron, Madeleine van Zuylen, Daniel S. Weld

Embedding Recycling for Language Models

Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey

EACL 2023 Findings

Knowledge Transfer from Answer Ranking to Answer Generation

Matteo Gabburo, Rik Koncel-Kedziorski, Siddhant Garg, Luca Soldaini, Alessandro Moschitti

EMNLP 2022

Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection

Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti

EMNLP 2022 Short Paper

Ensemble Transformer for Efficient and Accurate Ranking Tasks: An Application to Question Answering Systems

Yoshitomo Matsubara, Luca Soldaini, Eric Lind, Alessandro Moschitti

EMNLP 2022 Findings

Overview of the TREC 2022 NeuCLIR Track

Dawn Lawrie, Sean MacAvaney, James Mayfield, Paul McNamee, Douglas W. Oard, Luca Soldaini, Eugene Yang

TREC 2022

Cross-Lingual GenQA: A Language-Agnostic Generative Question Answering Approach for Open-Domain Question Answering

Benjamin Muller, Luca Soldaini, Rik Koncel-Kedziorski, Eric Lind, Alessandro Moschitti

AACL 2022

Paragraph-based Transformer Pre-training for Multi-Sentence Inference

Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti

NAACL 2022 Short Paper

Answer Generation for Retrieval-based Question Answering Systems

Chao-Chun Hsu, Eric Lind, Luca Soldaini, Alessandro Moschitti

ACL 2021 Findings

Modeling Context in Answer Sentence Selection Systems on a Latency Budget

Rujun Han, Luca Soldaini, Alessandro Moschitti

EACL 2021

Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention

Mingda Li, Xinyue Liu, Weitong Ruan, Luca Soldaini, Wael Hamza, Chengwei Su

COLING 2020

The Cascade Transformer: Efficient Answer Sentence Selection

Luca Soldaini, Alessandro Moschitti

ACL 2020

Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing

Subendhu Rongali, Luca Soldaini, Emilio Monti, Wael Hamza

WWW 2020 Short Paper

Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning

Sean MacAvaney, Luca Soldaini, Nazli Goharian

ECIR 2020 Short Paper

Overcoming Low-Utility Facets for Complex Answer Retrieval

Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder

Information Retrieval Journal 2018

Relation Extraction for Protein-Protein Interactions Affected by Mutation

Ziling Fan, Luca Soldaini, Arman Cohan, Nazli Goharian

ACM-BCB 2018 Short Paper

SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions

Arman Cohan^α, Bart Desmet^α, Andrew Yates^α, Luca Soldaini, Sean MacAvaney, Nazli Goharian

COLING 2018

Helping or Hurting? Predicting Changes in Users' Risk of Self-Harm Through Online Community Interactions

Luca Soldaini, Timothy Walsh, Arman Cohan, Julien Han, Nazli Goharian

NAACL 2018 CLPsych Workshop

The Knowledge and Language Gap in Medical Information Seeking

Luca Soldaini

Georgetown University 2018 PhD Thesis

RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses

Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian

NAACL 2018 CLPsych Workshop

Characterizing Question Facets for Complex Answer Retrieval

Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder

SIGIR 2018

Tree-LSTMs for Scientific Relation Classification

Sean MacAvaney, Luca Soldaini, Arman Cohan, Nazli Goharian

NAACL 2018 SemEval Workshop

Denoising Clinical Notes for Medical Literature Retrieval with a Convolutional Neural Model

Luca Soldaini, Andrew Yates, Nazli Goharian

CIKM 2017 Short Paper

Learning to Reformulate Long Queries for Clinical Decision Support

Luca Soldaini, Andrew Yates, Nazli Goharian

JASIST 2017

Inferring Individual Attributes from Search Engine Queries and Auxiliary Information

Luca Soldaini, Elad Yom-Tov

WWW 2017

Learning to Rank for Consumer Health Search: A Semantic Approach

Luca Soldaini, Nazli Goharian

ECIR 2017 Short Paper

QuickUMLS: A Fast, Unsupervised Approach for Medical Concept Extraction

Luca Soldaini, Nazli Goharian

SIGIR 2016 MedIR Workshop

Identifying Significance of Discrepancies in Radiology Reports

Arman Cohan, Luca Soldaini, Nazli Goharian

SDM 2016 DMMH Workshop

Enhancing Web Search in the Medical Domain via Query Clarification

Luca Soldaini, Andrew Yates, Elad Yom-Tov, Ophir Frieder, Nazli Goharian

Information Retrieval Journal 2016

Matching Citation Text and Cited Spans in Biomedical Literature: A Search–Oriented Approach

Arman Cohan, Luca Soldaini, Nazli Goharian

NAACL 2015 Short Paper

Retrieving Medical Literature for Clinical Decision Support

Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, Ophir Frieder

ECIR 2015

On Clinical Decision Support

Arman Cohan, Luca Soldaini, Andrew Yates, Nazli Goharian, Ophir Frieder

ACM-BCB 2014 Short Paper