InstructPatentGPT: Training patent language models to follow instructions with human feedback

25 May 2024

Papers citing "InstructPatentGPT: Training patent language models to follow instructions with human feedback"

7 / 7 papers shown

Title
Improving the Accuracy and Efficiency of Legal Document Tagging with Large Language Models and Instruction Prompts Emily Johnson Xavier Holt Noah Wilson AILaw 37 0 0 12 Apr 2025
Enhancing Contrastive Demonstration Selection with Semantic Diversity for Robust In-Context Machine Translation Owen Patterson Chee Ng 17 0 0 12 Apr 2025
LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble Yujeong Lee Sangwoo Shin Wei-Jin Park Honguk Woo OffRL 3DV 68 1 0 26 Nov 2024
Improving alignment of dialogue agents via targeted human judgements Amelia Glaese Nat McAleese Maja Trkebacz John Aslanides Vlad Firoiu ... John F. J. Mellor Demis Hassabis Koray Kavukcuoglu Lisa Anne Hendricks G. Irving ALM AAML 220 495 0 28 Sep 2022
Evaluating Generative Patent Language Models Jieh-Sheng Lee ELM 17 16 0 23 Jun 2022
Offline RL for Natural Language Generation with Implicit Language Q Learning Charles Burton Snell Ilya Kostrikov Yi Su Mengjiao Yang Sergey Levine OffRL 119 101 0 05 Jun 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022