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Home - Christopher Collin Burns

I’m Christopher Collin Burns Life & Business Coach / Podcaster / Vlogger / World Traveler / International Speaker & Emcee Join me to experience adventures traveling around the world, evolving your consciousness and leveling up your purpose, power and prosperity! Stay Connected500K+ Video Views and Podcast Listens 800+ Guests Intervie...

christophercollinburns.com

Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation

[3]Lisa P. Argyle, Ethan C. Busby, Nancy Fulda, Joshua R. Gubler, Christopher Rytting, and David Wingate.Out of one, many: Using language models to simulate human sam... [15]Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt.Measuring massive multitask language understanding.Intern...

arxiv.org 9月7日

LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss

Wu et al. (2024a)Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D Manning, and Christopher Potts.Reft: Representation finetuning f... Hendrycks et al. (2021)Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt.Measuring massive multitask language u...

arxiv.org 8月24日

Nemotron-4 340B Technical Report

Burns et al. (2023)Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Le... Cobbe et al. (2021)Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, and John Schulman.Training Verifiers to Solve M...

arxiv.org 2024年4月19日

Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency

Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, and John Schulman.Training verifiers to solve math word problems, 202... Hendrycks et al. (2021)Dan Hendrycks, Collin Burns, et al.Measuring mathematical problem-solving with the math dataset.NeurIPS, 2021. Jiang et al. (2024)Dongfu Jiang, Xu...

arxiv.org 8月24日

Efficient Continual Pre-training by Mitigating the Stability Gap

Clark et al. [2019]Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, and Kristina Toutanova.Boolq: Exploring the surprising difficulty of natu... Hendrycks et al. [2020a]Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt.Measuring massive multitask language ...

arxiv.org 2024年1月15日

No Language Data Left Behind: A Comparative Study of CJK Language Datasets in the Hugging Face Ecosystem

Hendrycks et al. (2020)Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt. 2020.Measuring massive multitask lang... Le Scao et al. (2023)Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilić, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yv...

arxiv.org 2025年2月7日

Task-Circuit Quantization: Leveraging Knowledge Localization and Interpretability for Compression

Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, and John Schulman.Training Verifiers to Solve Math Word Problems, November 2021.U... Hendrycks et al. (2021)Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt.Measuring Massive Multitask Language ...

arxiv.org 2023年2月19日

Better Power Music Workout、Tommy Lee James、Stuart John Crichton、Marc Christopher Kinchen、Matthew

酷狗音乐为您提供由Power Music Workout、Tommy Lee James、Stuart John Crichton、Marc Christopher Kinchen、Matthew James Burns、Jaten Collin Dimsdale演唱的高清音质无损Bettermp3在线听,听Better,只来酷狗音乐! MV 清空搜索历史下载酷狗【麦兜是只猪】正在直播苏打绿-小情歌去现场 Power Music Workout、Tommy Lee Jam...

酷狗音乐 2023年2月22日

Collin Burns 三速练习12次平均11.827-生活高清完整正版

Collin Burns 三速练习12次平均11.827 是在优酷播出的生活高清视频,于2013-02-03 15:05:54上线。视频内容简介:Full OLL is Overrated 续费会员历史客户端登录视频讨论

优酷 2013年2月3日

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Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation

LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss