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Bohao Peng, Jian Wang, Yuechen Zhang +3 authors
ControlNeXt is a computationally efficient method for controllable image and video generation with a streamlined architecture and minimal parameters, using Cross Normalization for fast training convergence.
Xianjie Wu, Jian Yang, Linzheng Chai +10 authors
TableLLM, trained on TableInstruct, benchmarks performance in tabular data reasoning and highlights the need for improvement in real-world applications.
Fuzhao Xue, Yukang Chen, Dacheng Li +15 authors
LongVILA, a full-stack solution for long-context vision-language models, introduces Multi-Modal Sequence Parallelism for efficient training and inference, and a five-stage training pipeline that enhances long video processing and captioning performance.
Clément Christophe, Praveen K Kanithi, Tathagata Raha +2 authors
Med42-v2 enhances Llama3 with clinical data to improve performance in healthcare settings, outperforming generic models across medical benchmarks.
Jiayuan Zhu, Yunli Qi, Junde Wu
MedSAM-2 extends the SAM 2 framework for 2D and 3D medical image segmentation, offering one-prompt segmentation across multiple images and outperforming existing models in various medical imaging tasks.
Jinheng Xie, Weijia Mao, Zechen Bai +7 authors
Show-o, a unified transformer model, combines autoregressive and diffusion modeling for versatile vision-language tasks, achieving competitive performance.
Shengpeng Ji, Ziyue Jiang, Xize Cheng +13 authors
WavTokenizer provides extreme audio compression and state-of-the-art quality by expanding the VQ space, contextual windows, attention networks, and using a multi-scale discriminator and inverse Fourier transform.
Chaoyou Fu, Haojia Lin, Zuwei Long +12 authors
VITA, an open-source Multimodal Large Language Model, excels in processing Video, Image, Text, and Audio with seamless interaction, showcasing advancements in multimodal understanding and human-computer interaction.
Viraat Aryabumi, Yixuan Su, Raymond Ma +6 authors
The inclusion of code data during pre-training significantly improves LLMs' performance across various natural language and world knowledge tasks, beyond code generation.
Xiaochuang Han, Marjan Ghazvininejad, Pang Wei Koh +1 authors
Using canonical codec representations (JPEG, AVC) as a direct modeling approach for image and video generation outperforms pixel-based and vector quantization methods, facilitating multi-modal LLMs.
Yinghao Ma, Anders Øland, Anton Ragni +40 authors
A review of foundation models in music, including large language models and latent diffusion models, highlights their impact, architectural choices, and the need for ethical considerations in music applications.
Wei Chen, Zhiyuan Li, Shuo Xin +1 authors
Dolphin, a novel decoder-decoder architecture, enables efficient processing of long contexts in language models by distilling contextual information into memory embeddings, thereby improving energy efficiency and latency without sacrificing accuracy.
Junxiong Wang, Daniele Paliotta, Avner May +2 authors
Large-scale Transformer models can be distilled into linear RNNs using attention layer weights, achieving competitive performance with enhanced deployment efficiency.
Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy +7 authors
Gemma Scope is an open suite of JumpReLU SAEs trained on various layers of Gemma 2 models to facilitate safety and interpretability research.
Daoguang Zan, Zhirong Huang, Ailun Yu +17 authors
A Java version of SWE-bench, SWE-bench-java, has been developed and released to evaluate the issue resolution capabilities of large language models in Java, along with a Docker-based environment and leaderboard.
Kexun Zhang, Weiran Yao, Zuxin Liu +13 authors
A DEI framework enhances software engineering problem-solving by leveraging a collective of LLM agents, achieving higher resolve rates compared to individual agents and closed-source solutions.
Shengran Hu, Cong Lu, Jeff Clune
A new research area, Automated Design of Agentic Systems (ADAS), uses a meta agent to automatically create powerful agentic system designs, demonstrating superior performance and robustness across various domains.
Xingguang Yan, Han-Hung Lee, Ziyu Wan +1 authors
Object Images convert 3D models into a manageable 2D format using image generation models like Diffusion Transformers, providing realistic 3D shapes and PBR materials.
Ziyang Ma, Yakun Song, Chenpeng Du +5 authors
A novel listening-while-speaking language model (LSLM) enhances real-time, full-duplex speech interaction by integrating speech generation and real-time audio input with an optimal fusion strategy.
Daniel Fleischer, Moshe Berchansky, Moshe Wasserblat +1 authors
RAG Foundry is an open-source framework integrating data creation, training, inference, and evaluation to facilitate the augmentation of large language models for RAG use cases, demonstrating improved performance across diverse datasets.
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