Trending Research
A Survey on Vision Mamba: Models, Applications and Challenges
ruixxxx/awesome-vision-mamba-models
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To help keep pace with the rapid advancements in computer vision, this paper aims to provide a comprehensive review of visual Mamba approaches.
AIOS: LLM Agent Operating System
Inspired by these challenges, this paper presents AIOS, an LLM agent operating system, which embeds large language model into operating systems (OS) as the brain of the OS, enabling an operating system "with soul" -- an important step towards AGI.
CLLMs: Consistency Large Language Models
hao-ai-lab/Consistency_LLM
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Parallel decoding methods such as Jacobi decoding show promise for more efficient LLM inference as it breaks the sequential nature of the LLM decoding process and transforms it into parallelizable computation.
decoupleQ: Towards 2-bit Post-Training Uniform Quantization via decoupling Parameters into Integer and Floating Points
However, existing quantization schemes suffer from significant accuracy degradation at very low bits, or require some additional computational overhead when deployed, making it difficult to be applied to large-scale applications in industry.
QLoRA: Efficient Finetuning of Quantized LLMs
internlm/xtuner
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NeurIPS 2023
Our best model family, which we name Guanaco, outperforms all previous openly released models on the Vicuna benchmark, reaching 99. 3% of the performance level of ChatGPT while only requiring 24 hours of finetuning on a single GPU.
ImageInWords: Unlocking Hyper-Detailed Image Descriptions
To address these issues, we introduce ImageInWords (IIW), a carefully designed human-in-the-loop annotation framework for curating hyper-detailed image descriptions and a new dataset resulting from this process.
The Platonic Representation Hypothesis
We argue that representations in AI models, particularly deep networks, are converging.
MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences
Results: The model showcased high accuracy in segmenting well-defined organs, achieving Dice Similarity Coefficient (DSC) scores of 0. 97 for the right and left lungs, and 0. 95 for the heart.
SceneTracker: Long-term Scene Flow Estimation Network
Considering the complementarity of scene flow estimation in the spatial domain's focusing capability and 3D object tracking in the temporal domain's coherence, this study aims to address a comprehensive new task that can simultaneously capture fine-grained and long-term 3D motion in an online manner: long-term scene flow estimation (LSFE).
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model
start2020/awesome-timeseries-llm-fm
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There are two main research lines, namely pre-training foundation models from scratch for time series and adapting large language foundation models for time series.
