Zobrazeno 1 - 10
of 236
pro vyhledávání: '"Allen Zhu"'
Autor:
Emir Malovic, Alyssa Ealy, Cameron Miller, Ahyoung Jang, Phillip J. Hsu, Souvarish Sarkar, Dharmin Rokad, Cody Goeser, Aleah Kristen Hartman, Allen Zhu, Bharathi Palanisamy, Gary Zenitsky, Huajun Jin, Vellareddy Anantharam, Arthi Kanthasamy, Chuan He, Anumantha G. Kanthasamy
Publikováno v:
iScience, Vol 27, Iss 9, Pp 110619- (2024)
Summary: As the most abundant glial cells in the central nervous system (CNS), astrocytes dynamically respond to neurotoxic stress, however, the key molecular regulators controlling the inflammatory status of these sentinels during neurotoxic stress
Externí odkaz:
https://doaj.org/article/644b233085804a1086375f92d94ebdfb
Language models have demonstrated remarkable performance in solving reasoning tasks; however, even the strongest models still occasionally make reasoning mistakes. Recently, there has been active research aimed at improving reasoning accuracy, partic
Externí odkaz:
http://arxiv.org/abs/2408.16293
Recent advances in language models have demonstrated their capability to solve mathematical reasoning problems, achieving near-perfect accuracy on grade-school level math benchmarks like GSM8K. In this paper, we formally study how language models sol
Externí odkaz:
http://arxiv.org/abs/2407.20311
Publikováno v:
Genome Biology, Vol 21, Iss 1, Pp 1-13 (2020)
Abstract The REPIC (RNA E PItranscriptome Collection) database records about 10 million peaks called from publicly available m6A-seq and MeRIP-seq data using our unified pipeline. These data were collected from 672 samples of 49 studies, covering 61
Externí odkaz:
https://doaj.org/article/5148af53b7a34428b91f2d8b2e17451e
Autor:
Zijie Zhang, Qi Zhan, Mark Eckert, Allen Zhu, Agnieszka Chryplewicz, Dario F. De Jesus, Decheng Ren, Rohit N. Kulkarni, Ernst Lengyel, Chuan He, Mengjie Chen
Publikováno v:
Genome Biology, Vol 20, Iss 1, Pp 1-17 (2019)
Abstract Epitranscriptome profiling using MeRIP-seq is a powerful technique for in vivo functional studies of reversible RNA modifications. We develop RADAR, a comprehensive analytical tool for detecting differentially methylated loci in MeRIP-seq da
Externí odkaz:
https://doaj.org/article/034a399bc5b94967bd10e5e307ab8404
Autor:
Allen-Zhu, Zeyuan, Li, Yuanzhi
Scaling laws describe the relationship between the size of language models and their capabilities. Unlike prior studies that evaluate a model's capability via loss or benchmarks, we estimate the number of knowledge bits a model stores. We focus on fa
Externí odkaz:
http://arxiv.org/abs/2404.05405
Large language models (LLMs) have a surprising failure: when trained on "A has a feature B", they do not generalize to "B is a feature of A", which is termed the Reversal Curse. Even when training with trillions of tokens this issue still appears due
Externí odkaz:
http://arxiv.org/abs/2403.13799
Autor:
Allen-Zhu, Zeyuan, Li, Yuanzhi
Language models can store vast factual knowledge, yet their ability to flexibly use this knowledge for downstream tasks (e.g., via instruction finetuning) remains questionable. This paper investigates four fundamental knowledge manipulation tasks: re
Externí odkaz:
http://arxiv.org/abs/2309.14402
Autor:
Allen-Zhu, Zeyuan, Li, Yuanzhi
Large language models (LLMs) can store a vast amount of world knowledge, often extractable via question-answering (e.g., "What is Abraham Lincoln's birthday?"). However, do they answer such questions based on exposure to similar questions during trai
Externí odkaz:
http://arxiv.org/abs/2309.14316
Autor:
Markus Tammia, Ruifa Mi, Valentin M. Sluch, Allen Zhu, Tiffany Chung, Daniel Shinn, Donald J. Zack, Ahmet Höke, Hai-Quan Mao
Publikováno v:
Heliyon, Vol 4, Iss 11, Pp e00982- (2018)
Schwann cells are key players in peripheral nerve regeneration, and are uniquely capable of remyelinating axons in this context. Schwann cells orchestrate this process via a set of transcription factors. While it has been shown that overexpression of
Externí odkaz:
https://doaj.org/article/c8ad7a12f8994deea6cfe46ca61be533