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update website style
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2 changes: 1 addition & 1 deletion _config.yml
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footer_fixed: true

# Dimensions
max_width: 800px
max_width: 1000px

# TODO: add layout settings (single page vs. multi-page)

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4 changes: 2 additions & 2 deletions _layouts/page.html
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<!-- page.html -->
<div class="post">

<header class="post-header">
<!-- <header class="post-header">
<h1 class="post-title">{{ page.title }}</h1>
<p class="post-description">{{ page.description }}</p>
</header>
</header> -->

<article>
{{ content }}
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7 changes: 4 additions & 3 deletions _pages/call_for_paper.md
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---

# Call for Papers
<br>
### Important Dates

* Submission Deadline: Oct 1, 2023 (AoE)
* Notification of Acceptance: October 27, 2023 (AoE)
* Submission Deadline: Oct 1, 2023 (11:59pm, anywhere on earth)
* Notification of Acceptance: October 27, 2023
* Camera-ready papers due: TBA
* Workshop Date: TBA, Dec 15 or Dec 16, 2023

_AoE = Anywhere on Earth_

<br>

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33 changes: 25 additions & 8 deletions _pages/home.md
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layout: page
title: home
permalink: /
title: <h3>Workshop on Instruction Tuning and Instruction Following</h3>
title: <h3 align="center">Workshop on Instruction Tuning and Instruction Following</h3>
nav_order: 1
---

__@ NeurIPS 2023, Dec 15 or 16__
__New Orleans, Louisiana, United States__
<h2 align="center">Workshop on Instruction Tuning and Instruction Following</h2><br>
<p align="center">
@ NeurIPS 2023, Dec 15 or 16<br>
New Orleans, Louisiana, United States<br><br>

Quick Links:
<a href="/">Twitter</a> | <a href="/call">Call for Papers</a> | <a href="https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/Instruction">OpenReview Portal</a> <br>
Program:
<a href="#speakers">Speakers</a> | <a href="#panelists">Panelists</a> | <a href="/organization">Organization</a> | <a href="/schedule">Schedule</a><br><br>
Contact Us: <a href="mailto:[email protected]">[email protected]</a>
</p>


<br>
Recent advancements in training large language models (LLMs) to follow "instructions" have significantly increased their ability to comprehend open-ended language commands, encompassing a wide range of needs, preferences, and values.

This remarkable transformation has led to the creation of phenomenal industrial models such as [GPT-4](https://arxiv.org/abs/2303.08774) and [Bard](https://blog.google/technology/ai/bard-google-ai-search-updates/), as well as an increased focus within the open-source and research communities: creating new benchmark and resources [[1](https://aclanthology.org/2022.emnlp-main.340/),[2](https://arxiv.org/abs/2301.13688)], developing new training methods [[3](https://arxiv.org/abs/2203.02155),[4](https://arxiv.org/abs/2212.10560)], and understanding the limitations of these methods [[5](https://arxiv.org/abs/2109.01247)]. Furthermore, instruction following powered by LLMs has proven to be effective in multi-modal settings, with applications in image editing [[6](https://arxiv.org/abs/2211.09800)] and robotic command execution [[7](https://arxiv.org/abs/2204.01691)].
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* [Nazneen Rajani](https://www.nazneenrajani.com/), Hugging Face
* [Omer Levy](https://www.cs.tau.ac.il/~levyomer/), Tel Aviv University, Meta AI
* [Sara Hooker](https://www.sarahooker.me/), Cohere for AI
* [Fei Xia](https://fxia22.github.io/), Google Deepmind
* [Fei Xia](https://fxia22.github.io/), Google DeepMind
* [Tatsunori Hashimoto](https://thashim.github.io/), Stanford University

<br>

## Panelists

Stay tuned! We plan to have two panels to encourage discussion!


<br>

## Organizers

* [Qinyuan Ye](http://yeqy.xyz/), University of Southern California
* [Yizhong Wang](https://homes.cs.washington.edu/~yizhongw/), University of Washington
* [Shayne Longpre](https://www.shaynelongpre.com/), Massachusetts Institute of Technology
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<br>

## Contact Us

Email: [[email protected]](mailto:[email protected])
## Steering Committee
* [Hannaneh Hajishirzi](https://homes.cs.washington.edu/~hannaneh/), University of Washington, Allen Institute for AI
* [Xiang Ren](https://shanzhenren.github.io/), University of Southern California, Allen Institute for AI
* [Robin Jia](https://robinjia.github.io/), University of Southern California
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## Reviewers
# Organization
<br>
### Reviewers

We thank the following researchers who have confirmed to serve as reviewers for the workshop:

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<br>

## Organizers
### Organizers

* [Qinyuan Ye](http://yeqy.xyz/), University of Southern California
* [Yizhong Wang](https://homes.cs.washington.edu/~yizhongw/), University of Washington
* [Shayne Longpre](https://www.shaynelongpre.com/), Massachusetts Institute of Technology
* [Yao Fu](https://franxyao.github.io/), University of Edinburgh
* [Daniel Khashabi](https://danielkhashabi.com/), Johns Hopkins University
* [Daniel Khashabi](https://danielkhashabi.com/), Johns Hopkins University

<br>

### Steering Committee
* [Hannaneh Hajishirzi](https://homes.cs.washington.edu/~hannaneh/), University of Washington, Allen Institute for AI
* [Xiang Ren](https://shanzhenren.github.io/), University of Southern California, Allen Institute for AI
* [Robin Jia](https://robinjia.github.io/), University of Southern California
2 changes: 2 additions & 0 deletions _pages/schedule.md
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---
# Schedule
<br>

_:warning: This is a tentative schedule, the organizers are still finializing the details._

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