Amir Hossein Kargaran kargaranamir

Suppose you want to put a full-width figure at the top of your ACL paper, as seen in the example below.

The \figure*{} macro does not work to insert a full-width figure above the abstract in the ACL template for some reason. Thus, we need to hack together a command that does it for us.

This command does a few things:

Breaks out of the document rendering defined by the ACL template with strip
Manually implements a hacked Figure macro with manually-written "Figure 1:", manual font size setting, etc.
Manually sets the figure count variable to not duplicate "Figure 1"

First Method

Deleting the .git folder may cause problems in our git repository. If we want to delete all of our commits history, but keep the code in its current state, try this:

# Check out to a temporary branch:
git checkout --orphan TEMP_BRANCH

# Add all the files:
git add -A

*2vec papers

act2vec, trace2vec, log2vec, model2vec https://link.springer.com/chapter/10.1007/978-3-319-98648-7_18
apk2vec https://arxiv.org/abs/1809.05693
app2vec http://paul.rutgers.edu/~qma/research/ma_app2vec.pdf
ast2vec https://arxiv.org/abs/2103.11614
attribute2vec https://arxiv.org/abs/2004.01375
author2vec http://dl.acm.org/citation.cfm?id=2889382
baller2vec https://arxiv.org/abs/2102.03291
bb2vec https://arxiv.org/abs/1809.09621

Inspired by dannyfritz/commit-message-emoji

	from transformers import AutoTokenizer, T5ForConditionalGeneration

	# Model Init
	n_gpu = 8
	tokenizer = AutoTokenizer.from_pretrained("google/flan-ul2")
	model = T5ForConditionalGeneration.from_pretrained("google/flan-ul2")
	heads_per_gpu = len(model.encoder.block) // n_gpu
	device_map = {
	gpu: list(
	range(

	<body onload="brython()">
	<h1>Get a joke</h1>

	<button id="joke-btn">Get Joke</button>
	<div id="joke" class="card">Click the "get joke" button</div>

	<!-- Ajax call -->
	<script type="text/python" id="script3">
	from browser import document, ajax

	import torch

	def projected_gradient_descent(model, x, y, loss_fn, num_steps, step_size, step_norm, eps, eps_norm,
	clamp=(0,1), y_target=None):
	"""Performs the projected gradient descent attack on a batch of images."""
	x_adv = x.clone().detach().requires_grad_(True).to(x.device)
	targeted = y_target is not None
	num_channels = x.shape[1]

	for i in range(num_steps):

Commit type	Emoji
Initial commit	🎉 `:tada:`
Version tag	🔖 `:bookmark:`
New feature	✨ `:sparkles:`
Bugfix	🐛 `:bug:`

	#!perl -w

	=head1 NAME

	pl2py.pl

	=head1 DESCRIPTION

	Attempts to convert perl scripts to python with the awesome power of regular expressions.