The NLP Lab
QLORA: Efficient Finetuning of Quantized LLMs | Paper summary
8:10
The NLP Lab
Language Models Don’t Always Say What They Think | Paper summary
5:20
The NLP Lab
Automatic Prompt Optimization with “Gradient Descent”and Beam Search | Paper summary
10:38
The NLP Lab
Falcon LLM: the Best Open-source LLM Available at the Moment
4:59
The NLP Lab
Tree of Thoughts: Deliberate Problem Solving with Large Language Models | Paper summary
10:20
The NLP Lab
LIMA: Less Is More for Alignment | Paper summary
7:46
The NLP Lab
Learning to Reason and Memorize with Self-Notes | Paper summary
6:00
The NLP Lab
What Will the NLP Industry Look Like in 6-12 Months? with @Slator
7:00
The NLP Lab
Who will Win the Large Language Model App Race? with @Slator
9:41
The NLP Lab
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models | Paper and Demo
6:27
The NLP Lab
The rise of API-powered NLP apps: hype cycle, or a new disruptive industry?
8:20
The NLP Lab
LLaMA | New open foundation Large Language Model by Meta AI | Paper summary
4:12
The NLP Lab
ChatGPT: One model for any NLP task? | Paper explained
4:40
The NLP Lab
The Flan Collection: Open Source Instruction Tuning | Paper explained
5:07
The NLP Lab
Adaptive Machine Translation with Large Language Models | Paper explained
3:07
The NLP Lab
Easy Way to Link a Large Language Model to an External Database | REPLUG Paper explained
3:23
The NLP Lab
How Close is ChatGPT to Human Experts?
6:40
The NLP Lab
Is GPT 3 a Good Data Annotator?
3:51
The NLP Lab
When to use a large language model? 4 points to consider in 2023.
7:45
The NLP Lab
State-of-the-art Zero-shot Speech Synthesis with Vall-E
3:03
The NLP Lab
Advanced Reasoning with Large Language Models with Chain of Thought Prompting | Paper explained!
6:12
The NLP Lab
In-context Learning - A New Paradigm in NLP?
10:08
The NLP Lab
Four Natural Language Processing Research Trends to Watch in 2023
8:30
The NLP Lab
Automatic Prompt Tuning for Large Language Models | RLPROMPT paper explained!
7:56
The NLP Lab
New Embedding Model by OpenAI - Intro and Explanation
5:33
The NLP Lab
A Neural Corpus Indexer for Document Retrieval | Paper explained
6:05
The NLP Lab
ChatGPT Explained | Optimizing Language Models for Dialogue
5:59
The NLP Lab
Efficient Training of Language Models to Fill in the Middle | Paper summary
9:38
The NLP Lab
BLOOM Large-scale Open source Language Model
3:34
The NLP Lab
*Paper summary* ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models
6:10
The NLP Lab
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
12:44
The NLP Lab
Memorizing Transformers
8:09
The NLP Lab
How to get started with Natural Language Processing in 2022
9:58
The NLP Lab
BRIO: Bringing Order to Abstractive Summarization
5:54
The NLP Lab
LinkBERT: Pretraining Language Models with Document Links
6:20
The NLP Lab
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
6:36
The NLP Lab
Multitask Prompted Training Enables Zero-Shot Task Generalization
5:44
The NLP Lab
WebGPT: Improving the factual accuracy of language models through web browsing | NLP Journal Club
5:57
The NLP Lab
Global-aware Beam Search for Neural Abstractive Summarization | NLP Journal Club
2:45
The NLP Lab
Improving Language Models by Retrieving from Trillions of Tokens | NLP Journal Club
4:44
The NLP Lab
MAUVE: Measuring the Gap Between Neural Text and Human Text | NLP journal club
3:05
The NLP Lab
Pay Attention to MLPs | NLP Journal Club
11:41
The NLP Lab
Pitfalls of Static Language Modelling | NLP Journal Club
8:32
The NLP Lab
Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT | NLP Journal Club
5:17
The NLP Lab
Best General-purpose NLP Libraries to Use in 2021
9:30
The NLP Lab
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval | NLP Journal Club
5:44
The NLP Lab
A Distributional Approach to Controlled Text Generation | NLP Journal Club
4:58
The NLP Lab
How to Find Good Research Papers, and How to Read Them
9:43
The NLP Lab
Autoregressive Entity Retrieval | NLP Journal Club
7:13
The NLP Lab
Connecting Images to Text: CLIP and DALL-E | NLP Journal Club
7:39
The NLP Lab
Learning Dense Representations of Phrases at Scale | NLP Journal Club
5:23
The NLP Lab
Nearest Neighbor Machine Translation | NLP Journal Club
6:48
The NLP Lab
To what extent do human explanations of model behavior align with actual model behavior? | NLP JC
5:44
The NLP Lab
Five Natural Language Processing Research Trends to Watch in 2021
9:27
The NLP Lab
CTRLsum: Towards Generic Controllable Text Summarization
6:23
The NLP Lab
FastFormers: Highly Efficient Transformer Models for Natural Language Understanding
12:13
The NLP Lab
Answering Open-Domain Questions of Arbitrary Complexity from Text
9:22
The NLP Lab
Stronger Transformers for Neural Multi-Hop Question Generation
10:13
The NLP Lab
Big Bird: Transformers for Longer Sequences
9:53
The NLP Lab
AdapterHub: A Framework for Adapting Transformers
8:25
The NLP Lab
Language Models are Few-Shot Learners -- GPT-3 Paper
15:26
The NLP Lab
CoCon: A Self-Supervised Approach for Controlled Text Generation
12:32
The NLP Lab
Language-agnostic BERT Sentence Embedding
11:24
The NLP Lab
Unsupervised Translation of Programming Languages | NLP Journal Club
9:51
The NLP Lab
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks | NLP journal club
7:39
The NLP Lab
Multi-scale Transformer Language Models
11:21
The NLP Lab
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators | NLP Journal Club
14:23
The NLP Lab
Language Model Prior for Low-Resource Neural Machine Translation | NLP Journal Club
16:04
The NLP Lab
WT5?! Training Text-to-Text Models to Explain their Predictions | NLP Journal Club
12:40
The NLP Lab
Few-Shot Natural Language Generation by Rewriting Templates | NLP Journal Club
14:27
The NLP Lab
QURIOUS: Question Generation Pretraining for Text Generation | NLP Journal Club
11:20
The NLP Lab
Jukebox: A Generative Model for Music | NLP Journal Club
12:52
The NLP Lab
REALM: Retrieval-Augmented Language Model Pre-Training | NLP Journal Club
18:06
The NLP Lab
Politeness Transfer: A Tag and Generate Approach | NLP Journal Club
12:40
The NLP Lab
Generalization through Memorization: Nearest Neighbor Language Models | NLP Journal Club
16:22
The NLP Lab
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries | NLP Journal Club
10:49
The NLP Lab
Felix: Flexible Text Editing Through Tagging and Insertion | NLP Journal Club
10:13
The NLP Lab
Reformer: The Efficient Transformer | NLP Journal Club
9:52
The NLP Lab
Learning by Semantic Similarity Makes Abstractive Summarization Better | NLP Journal Club
15:01
The NLP Lab
Revisiting Self-Training for Neural Sequence Generation | NLP Journal Club
13:05
The NLP Lab
Generating Question Answer Hierarchies | NLP Journal Club
8:43
The NLP Lab
Mirror-Generative Neural Machine Translation | NLP Journal Club
9:58
The NLP Lab
Plug and Play Language Models | NLP Journal Club
10:52
The NLP Lab
Towards a Human-like Open-Domain Chatbot | NLP Journal Club
6:27
The NLP Lab
PEGASUS: Pre-training with Extracted Gap-sentences | NLP Journal Club
14:22