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Karan Singhal, Tao Tu, Juraj Gottweis +28 authors
Med-PaLM 2, built on PaLM 2 and enhanced with medical fine-tuning and ensemble refinement, significantly improves physician-level performance in medical question answering by scoring 86.5% on MedQA and excelling on other clinical datasets.
Jianyi Wang, Zongsheng Yue, Shangchen Zhou +2 authors
A novel method leverages pre-trained text-to-image diffusion models for blind super-resolution, using a time-aware encoder and a controllable feature wrapping module to enhance fidelity and adaptability to varying resolutions.
James Betker
TorToise is an expressive multi-voice speech synthesis system that applies autoregressive transformers and DDPMs from image generation to text-to-speech.
Dahun Kim, Anelia Angelova, Weicheng Kuo
Region-aware Open-vocabulary Vision Transformers improve open-vocabulary object detection and image-text retrieval by using focal loss and novel object proposals in contrastive learning.
Wenliang Dai, Junnan Li, Dongxu Li +6 authors
InstructBLIP models, built through instruction-aware visual feature extraction on BLIP-2, achieve top performance in vision-language tasks, including zero-shot evaluation and fine-tuned downstream tasks.
Jianyi Zhang, Saeed Vahidian, Martin Kuo +4 authors
Federated Instruction Tuning (FedIT) leverages federated learning to improve generative large language models with diverse local instructions while maintaining privacy.
Connor Z. Lin, Koki Nagano, Jan Kautz +5 authors
A novel method for constructing implicit 3D morphable face models that combines the benefits of neural implicit representations and 3D morphable models, offering photo-realism, generalizability, and intuitive editing capabilities.
Yuchao Gu, Xintao Wang, Jay Zhangjie Wu +10 authors
Mix-of-Show addresses challenges in decentralized multi-concept customization for text-to-image diffusion models using embedding-decomposed LoRA, gradient fusion, and regionally controllable sampling.
Paul S. Scotti, Atmadeep Banerjee, Jimmie Goode +9 authors
MindEye, a novel fMRI-to-image approach, retrieves and reconstructs viewed images with high accuracy using specialized submodules and diffusion prior in latent space.
Arnav Gudibande, Eric Wallace, Charlie Snell +5 authors
Finetuning open-source language models on outputs from proprietary models like ChatGPT shows improved instruction-following but fails to close the performance gap on unsupported tasks.
Liying Cheng, Xingxuan Li, Lidong Bing
GPT-4 demonstrates comparable performance to human data analysts in end-to-end data analysis tasks across various domains.
Hiroki Furuta, Ofir Nachum, Kuang-Huei Lee +3 authors
An instruction-following multimodal agent named WebGUM, trained offline using vision transformers and language models, significantly outperforms existing methods in web navigation and multi-step reasoning tasks.
Tiedong Liu, Bryan Kian Hsiang Low
A fine-tuned LLaMA model, Goat, outperforms GPT-4 in arithmetic tasks through supervised learning and task decomposition.
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