Research Papers

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Making AI Safer: A New Approach to Content Moderation

Jing-Jing Li|Valentina Pyatkin|Max Kleiman-Weiner|Liwei Jiang|Nouha Dziri|Anne G. E. Collins|Jana Schaich Borg|Maarten Sap|Yejin Choi|Sydney Levine

Balancing Act: LLMs, Fairness, and Privacy

Chen Qian|Dongrui Liu|Jie Zhang|Yong Liu|Jing Shao

Can LLMs Really Reason About Cause and Effect?

Longxuan Yu|Delin Chen|Siheng Xiong|Qingyang Wu|Qingzhen Liu|Dawei Li|Zhikai Chen|Xiaoze Liu|Liangming Pan

Taming the Beast: Stabilizing LLM Training

Oleg Rybakov|Mike Chrzanowski|Peter Dykas|Jinze Xue|Ben Lanir

Can AI Tackle Climate Change Questions?

Veeramakali Vignesh Manivannan|Yasaman Jafari|Srikar Eranky|Spencer Ho|Rose Yu|Duncan Watson-Parris|Yian Ma|Leon Bergen|Taylor Berg-Kirkpatrick

A New Breed of LLM: Power Laws Unleashed

How AI Fact-Checks Itself for Better Answers

Zhichao Yan|Jiapu Wang|Jiaoyan Chen|Xiaoli Li|Ru Li|Jeff Z. Pan

Training LLMs to Play Fair: Magnetic Preference Optimization

Mingzhi Wang|Chengdong Ma|Qizhi Chen|Linjian Meng|Yang Han|Jiancong Xiao|Zhaowei Zhang|Jing Huo|Weijie J. Su|Yaodong Yang

Unlocking Deep Learning: Python, Math, and Powerful Libraries

Silin Chen|Ziqian Bi|Junyu Liu|Benji Peng|Sen Zhang|Xuanhe Pan|Jiawei Xu|Jinlang Wang|Keyu Chen|Caitlyn Heqi Yin|Pohsun Feng|Yizhu Wen|Tianyang Wang|Ming Li|Jintao Ren|Qian Niu|Ming Liu

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