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Hugo Touvron, Louis Martin, Kevin Stone +65 authors
Llama 2, a series of pretrained and fine-tuned large language models, achieves superior performance in dialogue tasks compared to open-source alternatives and offers safety enhancements.
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Yutao Sun, Li Dong, Shaohan Huang +5 authors
Retentive Network (RetNet) offers a foundation for large language models with parallel training, low-cost inference, and efficient long-sequence modeling through a retention mechanism supporting parallel, recurrent, and chunkwise recurrent paradigms.
Yujia Qin, Shihao Liang, Yining Ye +15 authors
ToolLLM is a framework that enhances open-source LLMs with tool-use capabilities through a comprehensive dataset, efficient decision tree, automatic evaluation, and neural API retrieval.
Dustin Podell, Zion English, Kyle Lacey +5 authors
SDXL, a latent diffusion model using a larger UNet with additional text encoders and attention mechanisms, improves text-to-image synthesis significantly.
Jiayu Ding, Shuming Ma, Li Dong +4 authors
LongNet, a Transformer variant with dilated attention, enables scaling to over 1 billion tokens with linear computational complexity and maintains performance on shorter sequences.
Yuwei Guo, Ceyuan Yang, Anyi Rao +4 authors
A framework inserts a motion model into existing text-to-image models to enable animation, using video clips to learn motion priors while preserving model domain and diversity.
Michal Geyer, Omer Bar-Tal, Shai Bagon +1 authors
A framework for text-driven video editing uses diffusion models to ensure consistency in the edited video by propagating features based on inter-frame correspondences.
Nataniel Ruiz, Yuanzhen Li, Varun Jampani +6 authors
HyperDreamBooth leverages hypernetworks for efficient personalized face generation, significantly speeding up the process and reducing model size compared to existing methods.
Jean Kaddour, Joshua Harris, Maximilian Mozes +3 authors
Large Language Models (LLMs) went from non-existent to ubiquitous in the machine learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify the remaining challenges and already fruitful application areas. In this paper, we aim to establish a systematic set of open problems and application successes so that ML researchers can comprehend the field's current state more quickly and become productive.
Liangyu Zha, Junlin Zhou, Liyao Li +22 authors
TableGPT, a fine-tuned language model with global tabular representations, enables seamless interaction and complex operations on tables via natural language and functional commands.
Sarah Gao, Andrew Kean Gao
A tool called Constellation clusters and visualizes large language models uploaded to Hugging Face using hierarchical clustering and n-gram analysis.
Xubo Liu, Zhongkai Zhu, Haohe Liu +8 authors
WavJourney leverages Large Language Models to generate structured audio scripts from text, which are then processed by task-specific audio models to create audio content, enabling explainable and human-controlled audio production.
Yiyuan Zhang, Kaixiong Gong, Kaipeng Zhang +4 authors
Meta-Transformer unifies multimodal learning across 12 unpaired modalities using a frozen encoder in a shared token space.
Nelson F. Liu, Kevin Lin, John Hewitt +4 authors
Analysis reveals language models perform better when relevant information is at the ends of longer contexts and suggests new evaluation protocols for long-context models.
Guocheng Qian, Jinjie Mai, Abdullah Hamdi +8 authors
A two-stage neural approach generates high-quality textured 3D meshes from a single image using neural radiance fields, differentiable mesh representations, and combined 2D and 3D diffusion priors.
Yupeng Chang, Xu Wang, Jindong Wang +13 authors
A comprehensive review of evaluation methods for large language models (LLMs) focusing on tasks, methods, and future challenges.
Bo Shen, Jiaxin Zhang, Taihong Chen +9 authors
PanGu-Coder2, a model fine-tuned with RRTF framework, demonstrates superior code generation performance, outperforming existing Code LLMs on multiple benchmarks.
Timo I. Denk, Yu Takagi, Takuya Matsuyama +4 authors
A method reconstructs music from fMRI data using the MusicLM model, matching semantic properties of original stimuli and identifying brain regions involved in processing music descriptions.
Yining Hong, Haoyu Zhen, Peihao Chen +4 authors
A new family of 3D-LLMs is introduced to perform 3D-related tasks by leveraging 3D point clouds and features, outperforming state-of-the-art baselines in tasks such as 3D question answering and captioning.
Xuefei Ning, Zinan Lin, Zixuan Zhou +2 authors
"Skeleton-of-Thought" (SoT) method reduces generation latency and potentially improves answer quality by guiding LLMs to generate a skeleton first, followed by parallel content completion.
Stephen Casper, Xander Davies, Claudia Shi +29 authors
RLHF is analyzed for its limitations and flaws, with suggestions for improvement, complementation, and oversight to enhance safer AI development.
Izzeddin Gur, Hiroki Furuta, Austin Huang +4 authors
WebAgent uses Flan-U-PaLM and HTML-T5 to improve task success in real-world web navigation through decomposed instructions, HTML summarization, and Python code generation.
Tian Lan, Deng Cai, Yan Wang +2 authors
Text generation is improved by copying text segments from a pre-existing collection, resulting in better quality and efficiency compared to traditional methods.
Mostafa Dehghani, Basil Mustafa, Josip Djolonga +12 authors
NaViT, a flexible Vision Transformer, processes images of arbitrary resolutions and aspect ratios, improving training efficiency and performance across various computer vision tasks.
Frano Rajič, Lei Ke, Yu-Wing Tai +3 authors
SAM-PT extends SAM for video object segmentation using robust and sparse point propagation, achieving strong zero-shot performance and demonstrating advantages on benchmarks like DAVIS, YouTube-VOS, MOSE, and UVO.
Chong Mou, Xintao Wang, Jiechong Song +2 authors
DragonDiffusion, a novel image editing method, enables precise manipulation of generated or real images using classifier guidance and multi-scale attention mechanisms without requiring fine-tuning.
Chengsong Huang, Qian Liu, Bill Yuchen Lin +3 authors
LoraHub, a framework for combining LoRA modules, enables few-shot cross-task generalization and facilitates community sharing of LRA modules for large language models.
Linoy Tsaban, Apolinário Passos
LEDITS combines Edit Friendly DDPM inversion and Semantic Guidance to enable versatile and efficient real-image editing using text prompts.
Dimitri von Rütte, Elisabetta Fedele, Jonathan Thomm +1 authors
FABRIC is a training-free method that uses feedback images and self-attention layers to enhance diffusion-based text-to-image models through iterative human feedback.
Subin Kim, Kyungmin Lee, June Suk Choi +3 authors
A novel method, Collaborative Score Distillation (CSD), based on Stein Variational Gradient Descent (SVGD), enhances consistency in text-to-image diffusion models across multiple images such as panoramas, videos, and 3D scenes.
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