Trending Research
WavCraft: Audio Editing and Generation with Natural Language Prompts
We introduce WavCraft, a collective system that leverages large language models (LLMs) to connect diverse task-specific models for audio content creation and editing.
FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design
However, existing systems do not provide Tensor Core support for FP6 quantization and struggle to achieve practical performance improvements during LLM inference.
RBF-PINN: Non-Fourier Positional Embedding in Physics-Informed Neural Networks
While many recent Physics-Informed Neural Networks (PINNs) variants have had considerable success in solving Partial Differential Equations, the empirical benefits of feature mapping drawn from the broader Neural Representations research have been largely overlooked.
SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing
modelscope/swift
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Image diffusion models have been utilized in various tasks, such as text-to-image generation and controllable image synthesis.
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning
unimodal4reasoning/chartvlm
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Recently, many versatile Multi-modal Large Language Models (MLLMs) have emerged continuously.
Painterly Image Harmonization by Learning from Painterly Objects
bcmi/ArtoPIH-Painterly-Image-Harmonization
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In particular, we learn a mapping from background style and object information to object style based on painterly objects in artistic paintings.
ID-Animator: Zero-Shot Identity-Preserving Human Video Generation
Based on this pipeline, a random face reference training method is further devised to precisely capture the ID-relevant embeddings from reference images, thus improving the fidelity and generalization capacity of our model for ID-specific video generation.
Language Model Crossover: Variation through Few-Shot Prompting
The promise of such language model crossover (which is simple to implement and can leverage many different open-source language models) is that it enables a simple mechanism to evolve semantically-rich text representations (with few domain-specific tweaks), and naturally benefits from current progress in language models.
Efficient Multimodal Learning from Data-centric Perspective
baai-dcai/bunny
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Multimodal Large Language Models (MLLMs) have demonstrated notable capabilities in general visual understanding and reasoning tasks.
CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models
We present BenchmarkName, a novel benchmark to quantify LLM security risks and capabilities.
