A modular RL library to fine-tune language models to human preferences
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Updated
Mar 1, 2024 - Python
A modular RL library to fine-tune language models to human preferences
Some papers and datasets about Data-To-Text Generation
[NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.
A multi-purpose toolkit for table-to-text generation: web interface, Python bindings, CLI commands.
[EMNLP'21] Few-Shot Table-to-Text Generation with Prototype Memory
🧐 Code & Data for Fact-based Text Editing (Iso et al; ACL 2020)
Code for "Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation" (ACL 2019)
Web demo of an AI model which converts table to text
About, (Large Language Model) Prompting for Real-World Table Processing
Thesis scope: Train and Develop a Table-to-Text Transformer-based model for contextual summarization of tabular data. To achieve this T5-small , T5-base, Bart-base and Llama2 7B chat were finetuned on ToTTo and QTSumm. Regarding ToTTo, the models outperformed the benchmark.
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