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AdaptLLM
/

law-tasks

Tasks:

Text Classification

Question Answering

Zero-Shot Classification

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AdaptLLM commited on Aug 29

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-# Adapting LLM to Domains (ICLR 2024)
 This repo contains the **evaluation datasets** for our paper [Adapting Large Language Models via Reading Comprehension](https://huggingface.co/papers/2309.09530).
 We explore **continued pre-training on domain-specific corpora** for large language models. While this approach enriches LLMs with domain knowledge, it significantly hurts their prompting ability for question answering. Inspired by human learning via reading comprehension, we propose a simple method to **transform large-scale pre-training corpora into reading comprehension texts**, consistently improving prompting performance across tasks in biomedicine, finance, and law domains. **Our 7B model competes with much larger domain-specific models like BloombergGPT-50B**.

 - legal
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+# Adapting LLMs to Domains via Continual Pre-Training (ICLR 2024)
 This repo contains the **evaluation datasets** for our paper [Adapting Large Language Models via Reading Comprehension](https://huggingface.co/papers/2309.09530).
 We explore **continued pre-training on domain-specific corpora** for large language models. While this approach enriches LLMs with domain knowledge, it significantly hurts their prompting ability for question answering. Inspired by human learning via reading comprehension, we propose a simple method to **transform large-scale pre-training corpora into reading comprehension texts**, consistently improving prompting performance across tasks in biomedicine, finance, and law domains. **Our 7B model competes with much larger domain-specific models like BloombergGPT-50B**.