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Data and models from NAACL 2025 paper "SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators" by Moskovskiy et al.
Models and datasets from the paper: "LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification" by Moskovskiy et al.
Models and datasets from the paper: "How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?" https://arxiv.org/abs/2502.14502
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How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Paper • 2502.14502 • Published • 93 -
s-nlp/Llama-3.1-8B-Instruct-TriviaQA-HighlyKnown
Viewer • Updated • 91k • 50 -
s-nlp/Llama-3.1-8B-Instruct-DBpedia-HighlyKnown
Viewer • Updated • 21k • 54 -
s-nlp/Mistral-7b-0.3-Instruct-TriviaQA-HighlyKnown
Viewer • Updated • 91k • 34
Data and models from NAACL 2025 paper "SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators" by Moskovskiy et al.
Models and datasets from the paper: "How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?" https://arxiv.org/abs/2502.14502
-
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Paper • 2502.14502 • Published • 93 -
s-nlp/Llama-3.1-8B-Instruct-TriviaQA-HighlyKnown
Viewer • Updated • 91k • 50 -
s-nlp/Llama-3.1-8B-Instruct-DBpedia-HighlyKnown
Viewer • Updated • 21k • 54 -
s-nlp/Mistral-7b-0.3-Instruct-TriviaQA-HighlyKnown
Viewer • Updated • 91k • 34
Models and datasets from the paper: "LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification" by Moskovskiy et al.