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Oral
Wed Jul 26 07:00 PM -- 07:08 PM (PDT) @ Ballroom C None
When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction
Vinith Suriyakumar · Marzyeh Ghassemi · Berk Ustun
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Oral
Wed Jul 26 07:08 PM -- 07:16 PM (PDT) @ Ballroom C None
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
Stella Biderman · Hailey Schoelkopf · Quentin Anthony · Herbie Bradley · Kyle O'Brien · Eric Hallahan · Mohammad Aflah Khan · Shivanshu Purohit · USVSN Sai Prashanth · Edward Raff · Aviya Skowron · Lintang Sutawika · Oskar van der Wal
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Oral
Wed Jul 26 07:16 PM -- 07:24 PM (PDT) @ Ballroom C None
Whose Opinions Do Language Models Reflect?
Shibani Santurkar · Esin Durmus · Faisal Ladhak · Cinoo Lee · Percy Liang · Tatsunori Hashimoto
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Oral
Wed Jul 26 07:24 PM -- 07:32 PM (PDT) @ Ballroom C None
A Watermark for Large Language Models
John Kirchenbauer · Jonas Geiping · Yuxin Wen · Jonathan Katz · Ian Miers · Tom Goldstein
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Oral
Wed Jul 26 07:32 PM -- 07:40 PM (PDT) @ Ballroom C None
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
Eric Mitchell · Yoonho Lee · Alexander Khazatsky · Christopher Manning · Chelsea Finn
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Oral
Wed Jul 26 07:40 PM -- 07:48 PM (PDT) @ Ballroom C None
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
Gati Aher · Rosa I. Arriaga · Adam Tauman Kalai
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Oral
Wed Jul 26 07:48 PM -- 07:56 PM (PDT) @ Ballroom C None
Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene
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Oral
Wed Jul 26 07:56 PM -- 08:04 PM (PDT) @ Ballroom C None
Structure-informed Language Models Are Protein Designers
Zaixiang Zheng · Yifan Deng · Dongyu Xue · Yi Zhou · Fei YE · Quanquan Gu
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Oral
Wed Jul 26 08:04 PM -- 08:12 PM (PDT) @ Ballroom C None
Transformers Learn In-Context by Gradient Descent
Johannes Von Oswald · Eyvind Niklasson · Ettore Randazzo · Joao Sacramento · Alexander Mordvintsev · Andrey Zhmoginov · Max Vladymyrov
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