Nathan Lambert

According to our database, Nathan Lambert authored at least 16 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RewardBench: Evaluating Reward Models for Language Modeling.

Nathan Lambert, Valentina Pyatkin, Jacob Morrison, LJ Miranda, Bill Yuchen Lin, Khyathi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 2024

A Survey on Data Selection for Language Models.

Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang

CoRR, 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

CoRR, 2024

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

Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, 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

CoRR, 2024

2023

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.

Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew E. Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi

CoRR, 2023

Zephyr: Direct Distillation of LM Alignment.

Lewis Tunstall, Edward Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, Leandro von Werra, Clémentine Fourrier, Nathan Habib, Nathan Sarrazin, Omar Sanseviero, Alexander M. Rush, Thomas Wolf

CoRR, 2023

Entangled Preferences: The History and Risks of Reinforcement Learning and Human Feedback.

Nathan Lambert, Thomas Krendl Gilbert, Tom Zick

CoRR, 2023

Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings.

Sarah Shoker, Andrew Reddie, Sarah Barrington, Ruby Booth, Miles Brundage, Husanjot Chahal, Michael Depp, Bill Drexel, Ritwik Gupta, Marina Favaro, Jake Hecla, Alan Hickey, Margarita Konaev, Kirthi Kumar, Nathan Lambert, Andrew Lohn, Cullen O'Keefe, Nazneen Rajani, Michael Sellitto, Robert Trager, Leah Walker, Alexa Wehsener, Jessica Young

CoRR, 2023

Reward Reports for Reinforcement Learning.

Thomas Krendl Gilbert, Nathan Lambert, Sarah Dean, Tom Zick, Aaron J. Snoswell, Soham Mehta

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Measuring Data.

Margaret Mitchell, Alexandra Sasha Luccioni, Nathan Lambert, Marissa Gerchick, Angelina McMillan-Major, Ezinwanne Ozoani, Nazneen Rajani, Tristan Thrush, Yacine Jernite, Douwe Kiela

CoRR, 2022

Reward Reports for Reinforcement Learning.

Thomas Krendl Gilbert, Sarah Dean, Nathan Lambert, Tom Zick, Aaron J. Snoswell

CoRR, 2022

Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems.

Thomas Krendl Gilbert, Sarah Dean, Tom Zick, Nathan Lambert

CoRR, 2022

The Challenges of Exploration for Offline Reinforcement Learning.

Nathan Lambert, Markus Wulfmeier, William F. Whitney, Arunkumar Byravan, Michael Bloesch, Vibhavari Dasagi, Tim Hertweck, Martin A. Riedmiller

CoRR, 2022

2021

Axes for Sociotechnical Inquiry in AI Research.

Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick

CoRR, 2021

2020

AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks.

McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick

Proceedings of the IEEE International Symposium on Technology and Society, 2020

2013

Aduno: Real-time collaborative work design in a shared workspace.

Braden Simpson, Eirini Kalliamvakou, Nathan Lambert, Daniela E. Damian

Proceedings of the 6th International Workshop on Cooperative and Human Aspects of Software Engineering, 2013