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• Conferences, Lectures, & Seminars (23)
• Workshops & Infosessions (43)
• University Calendar (9)
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• Student Activity (5)

Events for September 11, 2023

• Sep

  11

  Communications Hub: Writing and Speaking for PhD Students - Drop In Hours

  Mon, Sep 11, 2023 @ 10:00 AM - 01:00 PM

  Viterbi School of Engineering Student Affairs

  Workshops & Infosessions

  
  

  Viterbi Ph.D. Students!
  Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
  Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.
  

  Location: Ronald Tutor Hall of Engineering (RTH) - 222A

  Audiences: Graduate

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  • Mon Aug 28, 2023
  • Wed Aug 30, 2023
  • Fri Sep 1, 2023
  • Wed Sep 6, 2023
  • Fri Sep 8, 2023
  • Mon Sep 11, 2023
  • Wed Sep 13, 2023
  • Fri Sep 15, 2023
  • Mon Sep 18, 2023
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  • Fri Oct 27, 2023
  • Mon Oct 30, 2023
  • Wed Nov 1, 2023
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  • Mon Nov 6, 2023
  • Wed Nov 8, 2023
  • Mon Nov 13, 2023
  • Wed Nov 15, 2023
  • Mon Nov 20, 2023
  • Mon Nov 27, 2023
  • Wed Nov 29, 2023

  Contact: Helen Choi

  Event Link: https://sites.google.com/usc.edu/eishub/home

  

• Sep

  11

  PhD Thesis Proposal - Jiao Sun

  Mon, Sep 11, 2023 @ 03:30 PM - 05:30 PM

  Thomas Lord Department of Computer Science

  University Calendar

  
  

  PhD Thesis Proposal - Jiao Sun
  
  Committee Members: Xuezhe (Max) Ma (Chair), Nanyun (Violet) Peng, Johnathan May, Cyrus Shahabi, O Leary Dan
  
  Title: Discovering and Addressing the Pitfalls in Practical Text Generation
  
  Abstract: Research in language models has advanced at an incredible place, to the point where it is making its way to our daily lives of not only NLP researchers but also outsiders. However, there are some pitfalls that will hurt the utility of generative models and even exclude certain groups from using such models. In this talk, I will do a thorough reality check for each stage of text generation: data, model, and evaluation, and ask three main questions: how will data quality impact the utility of generation? Are we building the right models for the right purpose? How reliable are current evaluation metrics? I will ground these questions by my recent works on investigating the utility of free form rationales, a brand new set up for pun generation and dialect robust evaluation of generated text. In final remarks, I will discuss some future research perspectives on building trustworthy generation systems.
  

  Location: Ronald Tutor Hall of Engineering (RTH) - 306

  Audiences: Everyone Is Invited

  Contact: Melissa Ochoa

  Event Link: https://usc.zoom.us/my/jiaosun