10:09
The Wisdom of Hindsight Makes Language Models Better Instruction Followers - a quick review
18:04
InstructGPT -Training language models to follow instructions with human feedback - short review
12:37
Quick explanation on "Can language models learn from explanations in context?"
11:22
A short review on 'Transforming Sequence Tagging Into A Seq2Seq Task'
13:17
Short review on “Least to most Prompting enables complex reasoning in large language models”
14:47
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in NLP
10:33
Short review on Rethinking the role of Demonstrations: What makes In-context Learning Work?
10:54
Probing via Prompting - short review
14:55
Multimodal Few-shot Learning with Frozen Language Models
11:54
CONTROL PREFIXES for Text Generation
08:11
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
10:11
Finetuned language models are zero-shot learners
11:51
Short review - SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
08:57
Explaining research article- Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
09:20
Explaining - PPT: Pre-trained Prompt Tuning for Few-shot Learning
07:43
What Makes Good In Context Examples for GPT 3
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About
Computer Science PhD student. Research focus- Deep Learning applications in Natural Language Processing.
Looking for summer internship 2023.
If you have any doubt, question. Dm on the channel or on LinkedIn www.linkedin.com/in/namrata-shivagunde-b5823ba3/
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