Trending Research
SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models
xid32/soundmind
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While large language models have shown reasoning capabilities, their application to the audio modality, particularly in large audio-language models (ALMs), remains significantly underdeveloped.
SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection
zcablii/sm3det
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To address these, we establish a benchmark dataset and propose a unified model, SM3Det (Single Model for Multi-Modal datasets and Multi-Task object Detection).
TaskCraft: Automated Generation of Agentic Tasks
Agentic tasks, which require multi-step problem solving with autonomy, tool use, and adaptive reasoning, are becoming increasingly central to the advancement of NLP and AI.
Craftium: An Extensible Framework for Creating Reinforcement Learning Environments
Most Reinforcement Learning (RL) environments are created by adapting existing physics simulators or video games.
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
The era of intelligent agents is upon us, driven by revolutionary advancements in large language models.
DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing
Based on DeltaSpace, we propose a novel framework called DeltaEdit, which maps the CLIP visual feature differences to the latent space directions of a generative model during the training phase, and predicts the latent space directions from the CLIP textual feature differences during the inference phase.
Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation
qiukunpeng/siamese-diffusion
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CVPR 2025
Deep learning has revolutionized medical image segmentation, yet its full potential remains constrained by the paucity of annotated datasets.
Deep Industrial Image Anomaly Detection: A Survey
m-3lab/awesome-industrial-anomaly-detection
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In this paper, we provide a comprehensive review of deep learning-based image anomaly detection techniques, from the perspectives of neural network architectures, levels of supervision, loss functions, metrics and datasets.
FLUX that Plays Music
This paper explores a simple extension of diffusion-based rectified flow Transformers for text-to-music generation, termed as FluxMusic.
Ranked #2 on
Text-to-Music Generation
on MusicCaps
Multi-head Temporal Latent Attention
d-keqi/mlta
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While Transformer self-attention offers strong parallelism, the Key-Value (KV) cache grows linearly with sequence length and becomes a bottleneck for inference efficiency.
