InstructPix2Pix: Learning to Follow Image Editing Instructions [PDF]
Computer Vision and Pattern Recognition, 2022 We propose a method for editing images from human instructions: given an input image and a written instruction that tells the model what to do, our model follows these instructions to edit the image.
Tim Brooks +2 more
semanticscholar +1 more source
Self-Instruct: Aligning Language Models with Self-Generated Instructions [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Large “instruction-tuned” language models (i.e., finetuned to respond to instructions) have demonstrated a remarkable ability to generalize zero-shot to new tasks.
Yizhong Wang +6 more
semanticscholar +1 more source
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions [PDF]
IEEE International Conference on Computer Vision, 2023 We propose a method for editing NeRF scenes with text-instructions. Given a NeRF of a scene and the collection of images used to reconstruct it, our method uses an image-conditioned diffusion model (InstructPix2Pix) to iteratively edit the input images ...
Ayaan Haque +4 more
semanticscholar +1 more source
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 How well can NLP models generalize to a variety of unseen tasks when provided with task instructions? To address this question, we first introduce Super-NaturalInstructions, a benchmark of 1,616 diverse NLP tasks and their expert-written instructions ...
Yizhong Wang +39 more
semanticscholar +1 more source
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions [PDF]
International Conference on Learning Representations, 2023 Training large language models to follow instructions makes them perform better on a wide range of tasks and generally become more helpful. However, a perfectly helpful model will follow even the most malicious instructions and readily generate harmful ...
Federico Bianchi +6 more
semanticscholar +1 more source
Evaluation of the Role of Hidden Curriculum in Developing the Educational Process in Faculties of Physical Education [PDF]
Assiut Journal of Sport Science and Arts, 2017 The descriptive design has been used.The community and sample of the study:The current research community is composed of faculty members who teach the curriculum of physical education and instructions of physical education who have the field experience ...
Mustafa Mohamed Nasr El Din +1 more
doaj +3 more sources
GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions [PDF]
Computer Vision and Pattern Recognition, 2023 Recently, impressive results have been achieved in 3D scene editing with text instructions based on a 2D diffusion model. However, current diffusion models primarily generate images by predicting noise in the latent space, and the editing is usually ...
Jiemin Fang +4 more
semanticscholar +1 more source
Cross-Task Generalization via Natural Language Crowdsourcing Instructions [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Humans (e.g., crowdworkers) have a remarkable ability in solving different tasks, by simply reading textual instructions that define them and looking at a few examples.
Swaroop Mishra +3 more
semanticscholar +1 more source
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Instruction tuning enables pretrained language models to perform new tasks from inference-time natural language descriptions. These approaches rely on vast amounts of human supervision in the form of crowdsourced datasets or user interactions.
Or Honovich +3 more
semanticscholar +1 more source
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models [PDF]
International Conference on Learning Representations, 2023 Large Language Models (LLMs), with their remarkable task-handling capabilities and innovative outputs, have catalyzed significant advancements across a spectrum of fields. However, their proficiency within specialized domains such as biomolecular studies
Yin Fang +7 more
semanticscholar +1 more source