EMNLP 2022 Conference Special Edition - Talking Language AI #4
Skills:
Reading ML Papers80%
EMNLP is one of the leading annual research conferences for language processing, and it's one place to see cutting-edge developments in AI. Jay attended EMNLP 2022 and took a camera to record his experience and some of the conversations he's had and people he met. If you've wanted a taste of attending an AI conference, this is a tiny look at what it looks like for at least one visitor.
Questions and comments are welcomed in the Cohere DIscord: https://discord.gg/co-mmunity
Thread: https://discord.com/channels/954421988141711382/1069959176735961138
EMNLP 2022 took place over five days in Abu Dhabi, UAE. It featured 24 workshops and 828 papers. https://2022.emnlp.org/
Proceedings: https://preview.aclanthology.org/emnlp-22-ingestion/volumes/2022.emnlp-main/
Workshops mentioned:
Generation, Evaluation & Metrics (GEM) Workshop
https://gem-benchmark.com/workshop
Massively Multilingual NLU 2022
https://mmnlu-22.github.io/
Blackbox NLP
https://blackboxnlp.github.io/2022/
Arabic Natural Language Processing Workshop (WANLP 2022)
https://sites.google.com/view/wanlp2022/
Posters:
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
https://arxiv.org/abs/2210.16773
GENIE Evaluation Leaderboard: https://genie.apps.allenai.org/
Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks https://arxiv.org/abs/2210.14712
Data-efficient playlist captioning with musical and linguistic knowledge https://cora.ucc.ie/bitstream/handle/10468/14062/EMNLP_2022_author_version.pdf?sequence=1
Contents
0:00 Introduction
01:22 Q1: The most exciting NLP development in 2022
03:17 Q2: What NLP developments are you looking forward to in 2023
05:12 Q3: Name one underrated NLP Idea
09:25 Workshops: Generation, Evaluation & Metrics (GEM), Multilingual
10:31 Workshops: BlackboxNLP
14:38 Poster: Retrieval-augmented Transformer
17:42 Poster: GENIE evaluation leaderboard
18:23 Poster: Bloom library: multimodal datasets in 300+ languages
20:17 Poste
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Andreas Madsen on Independent Research and Interpretability
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Plex: Towards Reliability using Pretrained Large Model Extensions
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Independent Research Panel Discussion
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The Future of ML Ops: Open Challenges and Opportunities
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C4AI Special - Grad School Applications
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Cohere For AI Fireside Chat: Samy Bengio
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Cohere For AI - Scholars Program Information Session
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Modular and Composable Transfer Learning with Jonas Pfeiffer
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Jay Alammar Presents Large Language Models for Real World Applications
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Catherine Olsson - Mechanistic Interpretability: Getting Started
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How To Prompt Engineer a Tech Interview App | TOHacks 2022 Winners
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C4AI Sparks: Samy Bengio
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BERTopic for Topic Modeling - Maarten Grootendorst - Talking Language AI Ep#1
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Exploring News Headlines With Text Clustering | Jay Alammar
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Scale TransformX | Fireside Chat: Aidan Gomez and Alexandr Wang
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Making Large Language Models Accessible | Scale AI Fireside chat with Bill MacCartney
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Intro to KeyBERT - BERTopic for Topic Modeling
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Intro to PolyFuzz - BERTopic for Topic Modeling
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API Design Philosophy - BERTopic for Topic Modeling
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Code demo of BERTopic - BERTopic for Topic Modeling
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Short texts vs long texts in BERTopic- BERTopic for Topic Modeling
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How People can help BERTopic - BERTopic for Topic Modeling
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Cohere For AI: Training Sensorimotor Agency in Cellular Automata with Bert Chan
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Cohere API Community Demos | October 2022
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Perfect Prompt Demo By Arjun Patel
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Project Idea Generator Demo By Tobechukwu Okamkpa
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SuperTransformer Demo By Amir Nagri and Team Megatron
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Cohere For AI Fireside Chat: Pablo Samuel Castro
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How Startups Can Use NLP to Build a Competitive Moat
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Build Chatbots Faster with Large Language Models
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Tools to Improve Training Data - Vincent Warmerdam - Talking Language AI Ep#2
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Utku Evci - Sparsity and Beyond Static Network Architectures
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Adding human intelligence to ML models with human-learn #shorts #machinelearning #nlp
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Iterating on your data with doubtlab - Tools to Improve Training Data
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Adding Human Intelligence to ML models with Human learn - Tools to Improve Training Data
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Scikt Learn embeddings helpers with Embetter - Tools to Improve Training Data
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Building Cohere API Demo App With Streamlit | Adrien Morisot
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Rosanne Liu - career creation for non-standard candidates
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Giving computers many human languages with Cohere's multilingual embeddings
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Learning by Distilling Context with Charlie Snell
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Sentence Transformers and Embedding Evaluation - Nils Reimers - Talking Language AI Ep#3
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Reflecting on for.ai...
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Create a Custom Language Model with Surge AI and Cohere
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Cohere API Community Demos | November 2022
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Cohere API Community Demos | December 2022
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Cohere For AI Presents: Colin Raffel
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Lucas Beyer - FlexiViT: One Model for All Patch Sizes
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What is Neural Search? Nils Reimers - Sentence Transformers and Embedding Evaluation
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Evaluating Information Retrieval with BEIR
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Evaluating Embeddings with MTEB Massive text embeddings benchmark - Nils Reimers
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High quality text classification with few training examples with SetFit
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Multilingual and cross lingual embeddings - Nils Reimers
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Developing open-source software: lessons, benefits, and challenges - Nils Reimers
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Ask Me Anything with Ed Grefenstette, Head of Machine Learning at Cohere
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HyperWrite Powers Its Generative AI Service with Cohere
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EMNLP 2022 Conference Special Edition - Talking Language AI #4
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Cohere API Community Demos | January 2023
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C4AI Sparks: Rosanne Liu on Career Creation for Non-Standard Candidates
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Michael Tschannen - Image-and-Language Understanding from Pixels Only
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How to Add AI to your App
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Chapters (10)
Introduction
1:22
Q1: The most exciting NLP development in 2022
3:17
Q2: What NLP developments are you looking forward to in 2023
5:12
Q3: Name one underrated NLP Idea
9:25
Workshops: Generation, Evaluation & Metrics (GEM), Multilingual
10:31
Workshops: BlackboxNLP
14:38
Poster: Retrieval-augmented Transformer
17:42
Poster: GENIE evaluation leaderboard
18:23
Poster: Bloom library: multimodal datasets in 300+ languages
20:17
Poste
🎓
Tutor Explanation
DeepCamp AI