AdaptLLM/ConvFinQA
Adapting Large Language Models to Domains via Continual Pre-Training This repo contains the ConvFinQA dataset used in our ICLR 2024 paper Adapting Large Language Models via Reading Comprehension. 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… See the full description on the dataset page: https://huggingface.co/datasets/AdaptLLM/ConvFinQA.
| Author / organization | AdaptLLM |
|---|---|
| Downloads | 3.5K (as reported by Hugging Face) |
| Likes | 8 |
| Created | 2 April 2024 |
| Last updated at source | 30 November 2024 |
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Connected in the knowledge graph
- trjxter/TraceAlchemy-Gemma-4-E4B-Finance-IT-ggufModel · used to train
Recent changes
- 16 Oct 2026 Description: Adapting Large Language Models to Domains via Continual Pre-Training This repo contains the ConvFinQA dataset used in our ICLR 2024 paper Adapting Large Language Models via Reading Comprehension. We explore continued pre-training on domain- → Adapting Large Language Models to Domains via Continual Pre-Training This repo contains the ConvFinQA dataset used in our ICLR 2024 paper Adapting Large Language Models via Reading Comprehension. We explore continued pre-training on domain-
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