Web search results:

[1] "Prize-Winning Thesis and Dissertation Examples. Published on September 9, 2022 by Tegan George.Revised on November 11, 2022. It can be difficult to know where to start when writing your thesis or dissertation.One way to come up with some ideas or maybe even combat writer's block is to check out previous work done by other students on a similar thesis or dissertation topic to yours."
URL: https://www.scribbr.com/dissertation/examples/

[2] "Every year, 1000s of research papers related to Machine Learning are published in popular publications like NeurIPS, ICML, ICLR, ACL, and MLDS. The criteria are using citation counts from three academic sources: scholar.google.com; academic.microsoft.com; and semanticscholar.org. "Key research papers in natural language processing ..."
URL: https://towardsdatascience.com/3-machine-learning-research-papers-you-should-read-in-2020-9b639bd0b8f0

[3] "The Crossroads Research Center has open-sourced Pigasus and hosts a developer's group. Professor Ron Dror, Stanford University, USA Geometric Deep Learning of RNA Structure. This project focuses on a machine learning method that enables identification of accurate structural models of RNA. RNA performs a wide range of key cellular functions."
URL: https://www.intel.com/content/www/us/en/research/blogs/outstanding-researcher-award-2021.html

[4] "In 2022 MIT was the research institution hosting the highest number of leading computer scientists with as many as 38 of them working there this year. Only American universities and companies are present among the top 10 leading institutions. The highest cited scientist is Yoshua Bengio from the University of Montreal with 637,950 citations."
URL: https://research.com/news-events/world-ranking-of-top-computer-scientists-2022

[5] "That same year, Alan Turing publishes "On Computable Numbers, with an Application to the Entscheidungsproblem," the path-breaking paper proving the possibility of a "universal machine" (now known as a "Turing machine"), which is the abstract idea lying at the heart of every computer. In the same paper — as well as in another paper ..."
URL: https://thebestschools.org/magazine/most-influential-computer-scientists/

[6] "Top 12 AI Leaders and Researchers. 1. Andrew Ng. Founder and CEO of Landing AI, Founder of deeplearning.ai. Website: https://www.andrewng.org, Twitter: @AndrewYNg, Facebook: Andrew Ng, Google Scholar . Andrew was a co-founder and head of Google Brain. He was also the Chief Scientist at Baidu and led the company's AI group."
URL: https://www.mygreatlearning.com/blog/ai-researchers-and-leaders/

[7] "5. Yoshua Bengio. Yoshua Bengio is a professor at the Department of Computer Science and Operations Research at the Université de Montréal. He is also the co-founder of Element AI, a Montreal-based business incubator that seeks to transform AI research into real-world business applications.. Yoshua is well known for his work on artificial neural networks and deep learning in the 1980s and 1990s."
URL: https://www.analyticsvidhya.com/blog/2019/07/heroes-of-machine-learning-experts-researchers/

[8] "CVPR: 1,470 research papers on computer vision accepted from 6,656 valid submissions. ICLR: 687 out of 2594 papers made it to ICLR 2020 — a 26.5% acceptance rate. ICML: 1088 papers have been accepted from 4990 submissions. In this article, we have compiled a list of interesting machine learning research work that has made some noise this year."
URL: https://analyticsindiamag.com/top-machine-learning-research-papers-released-in-2020/

[9] "Unlike most other lists of top experts, this one is a hand-picked selection, not based on influence or Klout scores, or the number of Twitter followers and re-tweets, or other similar metrics. Each of these experts has his/her own Wikipedia page. Some might not even have a Twitter account. All of them have had a very… Read More »10 Famous Machine Learning Experts"
URL: https://www.datasciencecentral.com/10-famous-machine-learning-experts/

[10] "Alex Casillas, PhD. Alex Casillas is a Principal Research Psychologist in ACT's Center for Social, Emotional, and Academic Learning specializing in assessment design, behavioral predictors of performance and persistence in education and work settings, and implementation of SEL programming. His research increasingly focuses on helping ..."
URL: https://www.act.org/content/act/en/research/about-act-research/experts.html
Current date: 3/31/2023

Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.
Query: Act as an expert computer science researcher with several award winning research papers and extensive teaching experience. You are great at breaking down complicated concepts and describing them concisely and clearly. I am a second year Ph.D. student researching theoretical machine learning with a focus on deep learning at CMU. Help me with the following:

Summarize the following abstract:

By conditioning on natural language instructions, large language models (LLMs) have displayed impressive capabilities as general-purpose computers. However, task performance depends significantly on the quality of the prompt used to steer the model, and most effective prompts have been handcrafted by humans. Inspired by classical program synthesis and the human approach to prompt engineering, we propose Automatic Prompt Engineer (APE) for automatic instruction generation and selection. In our method, we treat the instruction as the "program," optimized by searching over a pool of instruction candidates proposed by an LLM in order to maximize a chosen score function. To evaluate the quality of the selected instruction, we evaluate the zero-shot performance of another LLM following the selected instruction. Experiments on 24 NLP tasks show that our automatically generated instructions outperform the prior LLM baseline by a large margin and achieve better or comparable performance to the instructions generated by human annotators on 19/24 tasks. We conduct extensive qualitative and quantitative analyses to explore the performance of APE. We show that APE-engineered prompts can be applied to steer models toward truthfulness and/or informativeness, as well as to improve few-shot learning performance by simply prepending them to standard in-context learning prompts. Please check out our webpage at
Web 검색 결과:[1] "수상 논문 및 논문 예시. 2022년 9월 9일에 게시 됨.2022년 11월 11일에 개정됨. 논문이나 논문을 작성할 때 어디서부터 시작해야 할지 알기 어려울 수 있습니다. 아이디어를 얻거나 작가 블록을 극복하는 한 가지 방법은 자신과 비슷한 논문이나 논문 주제에 대해 다른 학생들이 수행한 이전 작업을 확인하는 것입니다."URL: https://www.scribbr.com/dissertation/examples/[2] "매년 기계 학습과 관련된 수천 개의 연구 논문이 NeurIPS, ICML, ICLR, ACL, MLDS와 같은 유명 출판물에 게재됩니다. 이 기준은 세 가지 학술 출처인 scholar.google.com, academic.microsoft.com, semanticscholar.org의 인용 횟수를 사용합니다. "자연어 처리의 주요 연구 논문 ..."URL: https://towardsdatascience.com/3-machine-learning-research-papers-you-should-read-in-2020-9b639bd0b8f0[3] "크로스로드 연구 센터는 피가수스를 오픈소스화하고 개발자 그룹을 운영하고 있습니다. 미국 스탠포드 대학교, Ron Dror 교수 RNA 구조의 기하학적 딥러닝. 이 프로젝트는 RNA의 정확한 구조 모델을 식별할 수 있는 머신 러닝 방법에 초점을 맞추고 있습니다. RNA는 광범위한 주요 세포 기능을 수행합니다."URL: https://www.intel.com/content/www/us/en/research/blogs/outstanding-researcher-award-2021.html[4] "2022년 MIT는 올해 38명의 컴퓨터 과학자가 근무하는 등 가장 많은 컴퓨터 과학자를 보유한 연구 기관이었습니다. 상위 10개 주요 기관에는 미국 대학과 기업만 포함되어 있습니다. 가장 많이 인용된 과학자는 몬트리올 대학교의 요슈아 벤지오로 637,950회 인용되었습니다."URL: https://research.com/news-events/world-ranking-of-top-computer-scientists-2022[5] "같은 해 앨런 튜링은 모든 컴퓨터의 핵심에 있는 추상적인 아이디어인 '범용 기계'(현재는 '튜링 머신'으로 알려짐)의 가능성을 증명하는 획기적인 논문인 '계산 가능한 숫자에 대한 응용과 엔차이둥 문제'를 발표합니다. 같은 논문과 다른 논문에서 ..."URL: https://thebestschools.org/magazine/most-influential-computer-scientists/[6] "상위 12명의 AI 리더 및 연구원. 1. 앤드류 응. 랜딩 AI의 설립자 겸 CEO, deeplearning.ai의 설립자. 웹사이트: https://www.andrewng.org, 트위터: @AndrewYNg, Facebook: Andrew Ng, Google 장학생 . Andrew는 Google Brain의 공동 창립자이자 책임자였습니다. 또한 Baidu의 수석 과학자였으며 회사의 AI 그룹을 이끌었습니다."URL: https://www.mygreatlearning.com/blog/ai-researchers-and-leaders/[7] "5. 요슈아 벤지오. 요슈아 벤지오는 몬트리올 대학교 컴퓨터 과학 및 운영 연구과 교수입니다. 또한 몬트리올에 본사를 둔 비즈니스 인큐베이터인 Element AI의 공동 설립자로, AI 연구를 실제 비즈니스 애플리케이션으로 전환하고자 합니다. 요슈아는 1980년대와 1990년대에 인공 신경망과 딥 러닝에 대한 연구로 잘 알려져 있습니다."URL: https://www.analyticsvidhya.com/blog/2019/07/heroes-of-machine-learning-experts-researchers/[8] "CVPR: 6,656개의 유효한 제출물 중 1,470개의 컴퓨터 비전 관련 연구 논문이 채택되었습니다. ICLR: 2594개 논문 중 687개 논문이 ICLR 2020에 채택되어 26.5%의 채택률을 기록했습니다. ICML: 4990건의 제출 논문 중 1088건의 논문이 채택되었습니다. 이 기사에서는 올해 주목할 만한 흥미로운 머신러닝 연구 목록을 정리했습니다."URL: https://analyticsindiamag.com/top-machine-learning-research-papers-released-in-2020/[9] "대부분의 다른 최고 전문가 목록과 달리, 이 목록은 영향력이나 Klout 점수, 트위터 팔로워 수 및 리트윗 수 또는 기타 유사한 메트릭에 기반하지 않고 직접 엄선한 전문가를 선정했습니다. 이 전문가들은 각자의 위키백과 페이지를 가지고 있습니다. 일부는 트위터 계정이 없을 수도 있습니다. 그들 모두는 매우... 자세히보기 "유명한 머신 러닝 전문가 10인"URL: https://www.datasciencecentral.com/10-famous-machine-learning-experts/[10] "Alex Casillas, PhD. Alex Casillas는 평가 설계, 교육 및 업무 환경에서의 성과 및 지속성에 대한 행동 예측 인자, SEL 프로그래밍 구현을 전문으로하는 ACT의 사회, 정서 및 학업 학습 센터의 수석 연구 심리학자입니다. 그의 연구는 점점 더 도움에 초점을 맞추고 있습니다..."URL: https://www.act.org/content/act/en/research/about-act-research/experts.html현재 날짜: 3/31/2023지침: 제공된 웹 검색 결과를 사용하여 주어진 쿼리에 대한 포괄적인 답안을 작성하십시오. 참조 뒤에 [[번호](URL)] 표기를 사용하여 결과를 인용해야 합니다. 제공된 검색 결과가 같은 이름의 여러 주제를 참조하는 경우 각 주제에 대해 별도의 답안을 작성합니다.질문: 여러 수상 경력에 빛나는 연구 논문과 풍부한 강의 경험을 갖춘 컴퓨터 과학 전문 연구원으로 활동하세요. 복잡한 개념을 세분화하여 간결하고 명확하게 설명하는 데 능숙합니다. I 