CoRAL Sign-Up for Research@CoRAL (Complex Data Reasoning and Analysis Lab)

Thank you for your interest in joining the CoRAL (https://coral-lab-asu.github.io) at ASU, led by Prof. Vivek Gupta (https://vgupta123.github.io). 

We are excited about the potential for collaboration on cutting-edge research involving Large Language Models (LLMs) and their applications to complex data types.

About Prof. Vivek Gupta:

  • Current Position: Assistant Professor, SCAI, ASU (From Fall 2024)
  • Previous Experience: Postdoctoral Researcher at the University of Pennsylvania’s Cognitive Computation Group, CIS, SEAS under Prof. Dan Roth
  • Ph.D.: Computer Science, Kahlert School of Computing, University of Utah under Prof. Vivek Srikumar
  • Other Roles: Research Fellow at Microsoft Research India (2016-2018)
  • Education: BS-MS in Computer Science, IIT Kanpur (2011-2016)
  • Website: https://vgupta123.github.io (ASU Profile: https://search.asu.edu/profile/5176374 )

Research Focus:

Prof. Gupta’s research focuses on applying LLMs to complex structured data including tables, charts, maps, graphs, and flowcharts etc. 

Key areas of exploration include:

  • Trustworthiness of LLMs: Reasoning, hallucination, factuality, security, and privacy
  • Bias and Fairness: In LLM industry applications
  • Robustness of LLMs: LLM uses memorization, suprious correlations in inputs

[Important] Please review the following information on Prof. Gupta’s research before completing the form:

To help us understand your qualifications and motivation, please complete the following form. It should take approximately 20-30 minutes. Remember, there are no right or wrong answers. Provide honest responses to all questions.

  • The form will automatically send a confirmation email upon submission; no need for additional emails.
  • Due to a high volume of requests, individual feedback cannot be provided.

Thank you for your time and interest in CoRAL! We look forward to reviewing your application.

Sign in to Google to save your progress. Learn more
Full Name *
ASU Email Address? (If not ASU student put gmail / other) *
University & Department (Include both Major/Minor) *
Degree Details (BS, MS, Ph.D.) and Year of Study (1st, 2nd, 3rd, 4th etc) *
CGPA/CPI (put NA if first year) *

Have you worked on any NLP projects or have relevant experience?  If so, please provide a brief description. 

Do you have any prior publication, if yes, please describe that in great details. 

If you don't have research experience but did some AI, Vision or NLP course put them here.

 *
Do you have programming experience in Python or any other relevant programming languages? 

If yes, please specify your proficiency level with project (if possible provide some code link github or otherwise).
 *
List any relevant tools, libraries, or frameworks you are familiar with (e.g., TensorFlow, PyTorch, NLTK, spaCy, etc.). 

Have you use Hugging Face and ever work with LLM API? Did you ever fine-tune a LLMs e.g. LLaMA, Mistral etc.
 *
What motivates you to participate in NLP research e.g. want to be a research engineer? 

Do you have future aim to pursue higher education e.g. Ph.D.?
 *
Have you read any of my prior research, tell me more about. What do you like/dislike about that research, be specific? 

Here is the list of current research: https://vgupta123.github.io/pubs.html (or google scholar: https://scholar.google.com/citations?user=Bs5H0S4AAAAJ)
 *
What specific areas of NLP or large language models are you interested in exploring?
*

How many hours per week can likely commit? (Answer in hours per week, please be honest in this. If not sure just put "not sure")

Do you have any other commitments or constraints that might affect your availability for this project?
 *
Provide a link to your resume/cv and academic website (if you have)? You can also use a google drive link for resume. *
Acknowledgement: By submitting this form, you acknowledge that all information provided is accurate and complete to the best of your knowledge.
 *
Submit
Clear form
Never submit passwords through Google Forms.
This content is neither created nor endorsed by Google. Report Abuse - Terms of Service - Privacy Policy
Google Forms