NL+ (**N**atural **L**anguage **P**rocessing **Lu**nch **S**eminar) is a weekly event at the University of Notre Dame to build community among faculty and students doing research related to NLP and to build ties with NLP researchers at other universities.

Our faculty sponsors are David Chiang, Meng Jiang, Collin McMillan, John Lalor, Toby Li, Walter Scheirer, and Tim Weninger. Our amazing student organizers are Abigail Swenor, Chihiro Taguchi, Kezia Oketch, Ningzhi Tang, and Noah Ziems.

Meetings are usually on Mondays at 12:30pm over lunch. Roughly once a month, we host outstanding researchers from other universities (faculty and grad students) and industry to present their work. Other weeks, a speaker from our own community presents a short and informal talk followed by extended Q&A and discussion.

## Calendar

### Meng Chen

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Aarohi Srivastava

Lunch at 12:30pm, talk at 1pm, in 252 Nieuwland Hall of Science

### Georgina Curto Rex

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Ruyuan Wan

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Annalisa Szymanski

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Zhihan Zhang

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

Title: Lessons We Learned Towards Instruction Tuning - Data, Training & Evaluation

Abstract: Instruction-tuned language models have become popular recently due to their ability to solve any NLP task given a natural language instruction. Since the release of Llama and Alpaca models, a lot of research approaches have explored various key aspects of instruction tuning language models, including the data design, the training procedure and the evaluation protocol. In this presentation, I will briefly summarize some lessons we learned from instruction tuning papers in the past few months - what factors do researchers consider critical for tuning instruction-following models?

Bio: Zhihan Zhang is a third-year PhD student from the DM2 lab at Notre Dame, under the supervision of Dr. Meng Jiang. His recent research mainly focuses on large language models and instruction tuning, and he also has research experience in knowledge-augmented NLP and text retrieval. He has published multiple papers at top-tier NLP venues like ACL, EMNLP and TACL.

### Kezia Oketch

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Noah Ziems

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### David Chiang

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Aarohi Srivastava

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Diego Gómez-Zará

Lunch at 12:30, talk at 1pm, in 148 Fitzpatrick

### Kevin Scannell

Lunch at 12:30pm, (virtual) talk at 1pm, in 148 Fitzpatrick

### Kai Zhang

Lunch at 12:30pm, (virtual) talk at 1pm, in 148 Fitzpatrick

### Shuohang Wang

Lunch at 12:30pm, (virtual) talk at 1pm, in 148 Fitzpatrick

### John Lalor

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Sam Grieggs

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Shirley Anugrah Hayati

Lunch at 12:30pm, (virtual) talk at 1pm, in 148 Fitzpatrick

### Simret Gebreegziabher

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Wenhao Yu

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### David Chiang

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Aakash Bansal

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Akiko Eriguchi (Microsoft)

Lunch at 12:30pm, (in-person) talk at 1pm, in 148 Fitzpatrick

### Ruyuan Wan

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Joachim De Beule (Qualtrics)

Lunch at 12:30pm, (remote) talk at 1pm, in 148 Fitzpatrick

### Sophie Hao (Yale + NYU)

Lunch at 12:30pm, (in-person) talk at 1pm, in 148 Fitzpatrick

### Zhihan Zhang

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Mingxuan Ju

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Zheng Zhang

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Ken Sible

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Hua Shen (Penn State)

Lunch at 12:30pm, (virtual) talk at 1pm, in 148 Fitzpatrick

### Chihiro Taguchi

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Stephen Bothwell

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Noah Ziems

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Meng Jiang

Lunch at 12:30pm, (virtual) talk at 1pm, in 148 Fitzpatrick

### Allyson Ettinger

Lunch at 12:30pm, (virtual) talk at 1pm, in 148 Fitzpatrick

### David Chiang

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Yichong Xu

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### John Lalor

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Aakash Bansal

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Lingbo Tong

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Darcey Riley

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Manling Li (UIUC)

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Collin McMillan

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Mengxia Yu

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Lingfei Wu (JD.COM) - POSTPONED

Lunch at 12:30pm, (virtual) talk at 1pm, in 148 Fitzpatrick

### Chenhao Tan (Univ. of Chicago)

Lunch at 12:30pm, (virtual) talk at 1pm, in 148 Fitzpatrick

### Brian DuSell

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Sam Grieggs

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Ryan Cotterell (ETH Zurich)

Lunch at 12:30pm, (virtual) talk at 1pm, in 148 Fitzpatrick

### Zack Eberhart

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Darcey Riley

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### He He (New York University)

Lunch at 12:30pm, (virtual) talk at 1pm, in 148 Fitzpatrick

### Wenhao Yu

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Lu Wang (University of Michigan)

Lunch at 12:30pm, talk at 1pm, in Hesburgh Library, Scholars Lounge

### Stephen Bothwell

Lunch at 12:30pm, talk at 1pm, in 148 Fitzpatrick

### Alan Ritter (Georgia Tech)

Lunch at 12:30pm, (virtual) talk at 1pm, in 148 Fitzpatrick

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