UT NLL
UT Austin Natural Language Learning Reading Group
Location: GDC 3.816 / Zoom.
Fall 2023
As usual, we will continue to focus on recent papers in NLP. At each meeting, we will have a volunteer leading the paper discussion. If you are interested in leading the paper, please let me know or simply put down your availability here.
- Aug 31st, 2023: Kanishka will join our discussions on his recent outstanding paper at ACL Language model acceptability judgements are not always robust to context
- Sep 14th, 2023 Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
Outstanding Paper at ACL 2023
Spring 2023
This semester, we will focus on recent papers in NLP. At each meeting, one student should sign up for giving a short initial summary of the paper and for preparing some questions to get the discussion going. We will also allocate the last two meetings for students to talk about their own research. Students can give an update about their ongoing research in the form of a 10-min presentation. If you are interested in leading the paper or giving a presentation, please fill in your availability here. The meetings are held bi-weekly on Mondays 11:00 AM - 12:00 PM, starting from Jan 23rd. The meetings will be in hybrid, both at GDC 3.816 and via Zoom.- Jan 23rd, 2023: Hongli will lead the paper discussions Interpreting Language Models with Contrastive Explanations, EMNLP 2022
- Feb 6th, 2023: Hongli will lead the paper discussions Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs, EMNLP 2022
- Feb 20th, 2023: Kyle will join the paper discussions Dissociating language and thought in large language models: a cognitive perspective
- Mar 6th, 2023: Venkat will lead the paper discussions The Capacity for Moral Self-Correction in Large Language Models
- Mar 20th, 2023: Juan Diego will lead the paper discussions Towards Tracing Factual Knowledge in Language Models Back to the Training Data
- April 3rd, 2023: Anubrata will lead the paper discussions Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support
- April 17th, 2023: Hongli, Venkat, and Jierui will give research updates