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103 Results
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Affinity Workshop
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Fri 1:45 |
Fair Model-Based Reinforcement Learning Comparisons with Explicit and Consistent Update Frequency Albert Thomas · Abdelhakim Benechehab · Giuseppe Paolo · Balázs Kégl |
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Workshop
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Beyond A*: Better LLM planning via Search Dynamics Bootstrapping Lucas Lehnert · Sainbayar Sukhbaatar · Paul McVay · Michael Rabbat · Yuandong Tian |
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Poster
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Wed 7:30 |
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds Michael-Andrei Panaitescu-Liess · Yigitcan Kaya · Sicheng Zhu · Furong Huang · Tudor Dumitras |
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Poster
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Wed 1:45 |
RA-DIT: Retrieval-Augmented Dual Instruction Tuning Victoria Lin · Xilun Chen · Mingda Chen · Weijia Shi · Maria Lomeli · Richard James · Pedro Rodriguez · Jacob Kahn · Gergely Szilvasy · Mike Lewis · Luke Zettlemoyer · Scott Yih |
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Poster
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Thu 1:45 |
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs Sepehr Dehdashtian · Lan Wang · Vishnu Boddeti |
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Poster
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Tue 1:45 |
Time Fairness in Online Knapsack Problems Adam Lechowicz · Rik Sengupta · Bo Sun · Shahin Kamali · Mohammad Hajiesmaili |
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Poster
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Tue 1:45 |
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction Nima Shoghi · Adeesh Kolluru · John Kitchin · Zachary Ulissi · Larry Zitnick · Brandon Wood |
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Poster
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Wed 1:45 |
Aligning Relational Learning with Lipschitz Fairness Yaning Jia · Chunhui Zhang · Soroush Vosoughi |
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Poster
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Fri 1:45 |
Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu · Dong Gong · Shuo Wang · Jason Xue · Lina Yao · Kristen Moore |
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Poster
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Tue 1:45 |
Toward effective protection against diffusion-based mimicry through score distillation Haotian Xue · Chumeng Liang · Xiaoyu Wu · Yongxin Chen |
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Poster
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Tue 1:45 |
A Semantic Invariant Robust Watermark for Large Language Models Aiwei Liu · Leyi Pan · Xuming Hu · Shiao Meng · Lijie Wen |
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Workshop
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On Fairness Implications and Evaluations of Low-Rank Adaptation of Large Models Ken Liu · Zhoujie Ding · Berivan Isik · Sanmi Koyejo |