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Department Events & Announcements

Events

• Feb

  8

  CS Seminar: Controlling Large Language Models: Generating (Useful) Text from Models We Don't Fully Understand (Ari Holtzman)

  Department of Computer Science (CS)

  10:00 AM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

  EVENT DETAILS

  Wednesday / CS Seminar
  February 8th / 10:00 AM
  Hybrid / Mudd 3514

  Title: Controlling Large Language Models: Generating (Useful) Text from Models We Don’t Fully Understand
  Speaker: Ari Holtzman

  Abstract:
  Generative language models have recently exploded in popularity, with services such as ChatGPT deployed to millions of users. These neural models are fascinating, useful, and incredibly mysterious: rather than designing what we want them to do, we nudge them in the right direction and must discover what they are capable of. But how can we rely on such inscrutable systems?

  This talk will describe a number of key characteristics we want from generative models of text, such as coherence and correctness, and show how we can design algorithms to more reliably generate text with these properties. We will also highlight some of the challenges of using such models, including the need to discover and name new and often unexpected emergent behavior. Finally, we will discuss the implications this has for the grand challenge of understanding models at a level where we can safely control their behavior.

  Biography:
  Ari Holtzman is a PhD student at the University of Washington. His research has focused broadly on generative models of text: how we can use them and how can we understand them better. His research interests have spanned everything from dialogue, including winning the first Amazon Alexa Prize in 2017, to fundamental research on text generation, such as proposing Nucleus Sampling, a decoding algorithm used broadly in deployed systems such as the GPT-3 API and academic research. Ari completed an interdisciplinary degree at NYU combining Computer Science and the Philosophy of Language.

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  TIME Wednesday, February 8, 2023 at 10:00 AM - 11:00 AM

  LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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  CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

  CALENDAR Department of Computer Science (CS)

• May

  29

  Bagel Thursday

  Department of Computer Science (CS)

  9:00 AM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

  EVENT DETAILS

  TBA

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  TIME Thursday, May 29, 2025 at 9:00 AM - 11:00 AM

  LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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  CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

  CALENDAR Department of Computer Science (CS)

• May

  29

  Computer Science End of Year Awards

  Department of Computer Science (CS)

  2:30 PM Cohen Commons, Technological Institute

  EVENT DETAILS

  Dear CS Community,
  You're warmly invited to the Computer Science Award Celebration on Thursday, May 29, 2025, in Cohen Commons! Join us as we recognize the outstanding achievements and contributions of our CS community this year.

  Event Details:
  📅 Date: Thursday, May 29, 2025
  🕓 Time: 2:30-4PM
  📍 Location: Cohen Commons (Technological Institute)

  Light refreshments and cookies will be served, and all members of the CS department are welcome!

  Please RSVP by May 23rd so we can plan accordingly: https://app.smartsheet.com/b/form/2ba023053257473387bc29200e2587e7

  Register Now

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  TIME Thursday, May 29, 2025 at 2:30 PM - 4:00 PM

  LOCATION Cohen Commons, Technological Institute    map it

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  CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

  CALENDAR Department of Computer Science (CS)

• Jun

  4

  CS Seminar: Reusing Deep Learning Models: Challenges and Directions in Software Engineering: An Update (George K. Thiruvathukal)

  Department of Computer Science (CS)

  12:00 PM

  EVENT DETAILS

  Wednesday / CS Seminar
  June 4th / 12:00 PM
  Hybrid / Mudd 3514

  Speaker: George K. Thiruvathukal

  Talk Title: Reusing Deep Learning Models: Challenges and Directions in Software Engineering: An Update

  Abstract: Deep neural networks (DNNs) achieve state-of-the-art performance in many areas, including computer vision, system configuration, and question-answering. However, DNNs are expensive to develop, both in intellectual effort (e.g., devising new architectures) and computational costs (e.g., training). Re-using DNNs is a promising direction to amortize costs within a company and across the computing industry. As with any new technology, however, there are many challenges in re-using DNNs. These challenges include both missing technical capabilities and missing engineering practices. We discusschallenges in current approaches to DNN re-use. We summarize studies of re-use failures across the spectrum of re-use techniques, including conceptual (e.g., re-using based on a research paper), adaptation (e.g., re-using by building on an existing implementation), and deployment (e.g., direct re-use on a new device). We outline possible advances that would improve each kind of re-use.

  In this update of my invited presentation at IEEE Services 2023 at the John Vincent Atanasoff Sypmposium on Modern Computing, I will include information about our work in progress on the use of Deep Learning and Pre-Trained Models (PTMs) in science and engineering applications and our efforts to conduct automated longitudinal analysis of same.

  Biography: https://gkt.sh/about/

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  TIME Wednesday, June 4, 2025 at 12:00 PM - 1:00 PM

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  CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

  CALENDAR Department of Computer Science (CS)

• Jun

  5

  Final Project Demos- Mobile and Ubiquitous Computing Class

  Department of Computer Science (CS)

  9:30 AM

  EVENT DETAILS

  Mobile and Ubiquitous Computing has been working on some awesome projects this quarter, ranging from sensing plants to UV glasses that help you understand your screen time. We would love to invite everyone in the CS department to our poster and demo presentations.

  Where: Mudd 3rd floor Lobby (right in front of the elevator)
  When: June 5th, 9:30-10:50 am
  
  Here are the mid-term evaluation videos
  Harmful Wavelength Detection Glasses
  (really funny and fun to watch) Battery-Free Photosynthesis Sensors for Scalable, Real Time Plant Metabolism Sensing
  Biodegradable repackaging of Chips
  Brace yourself : Smart Knee Health Monitoring System
  From Textile to Motion: Electrohydraulic Actuators with Knitted Electrodes for Everyday Applications
  Adaptive Lighting Growth Environment for Plants

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  TIME Thursday, June 5, 2025 at 9:30 AM - 11:00 AM

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  CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

  CALENDAR Department of Computer Science (CS)

• Jun

  15

  2024-2025 Commencement Ceremony

  University Academic Calendar

  All Day

  EVENT DETAILSmore info

  2024-2025 Commencement Ceremony

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  TIME Sunday, June 15, 2025

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  CONTACT Office of the Registrar    nu-registrar@northwestern.edu EMAIL

  CALENDAR University Academic Calendar

• Jun

  16

  Northwestern Engineering PhD Hooding and Master's Degree Recognition Ceremony

  McCormick School of Engineering and Applied Science

  9:00 AM 2705 Ashland Ave

  EVENT DETAILS

  McCormick School of Engineering PhD Hooding and Master's Degree Recognition Ceremony. The most up to date information can be found on our graduation webpage.

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  TIME Monday, June 16, 2025 at 9:00 AM - 11:00 AM

  LOCATION 2705 Ashland Ave   

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  CONTACT Northwestern Engineering Events    northwestern-engineering-events@northwestern.edu EMAIL

  CALENDAR McCormick School of Engineering and Applied Science

• Jun

  16

  Northwestern Engineering Undergraduate Convocation

  McCormick School of Engineering and Applied Science

  2:00 PM 2705 Ashland Ave

  EVENT DETAILSmore info

  McCormick School of Engineering Undergraduate Convocation. The most up to date information can be found on our graduation webpage.

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  TIME Monday, June 16, 2025 at 2:00 PM - 4:00 PM

  LOCATION 2705 Ashland Ave   

  ADD TO CALENDAR

  CONTACT Northwestern Engineering Events    northwestern-engineering-events@northwestern.edu EMAIL

  CALENDAR McCormick School of Engineering and Applied Science