Trending Research
VACE: All-in-One Video Creation and Editing
ali-vilab/vace
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Further pursuing the unification of generation and editing tasks has yielded significant progress in the domain of image content creation.
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment
In this paper, we introduce a new class of alphas to model scalar, vector, and matrix features which possess the strengths of these two existing classes.
IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
Recently, large language model (LLM) based text-to-speech (TTS) systems have gradually become the mainstream in the industry due to their high naturalness and powerful zero-shot voice cloning capabilities. Here, we introduce the IndexTTS system, which is mainly based on the XTTS and Tortoise model.
MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
To address these challenges, we introduce MASLab, a unified, comprehensive, and research-friendly codebase for LLM-based MAS.
SEW: Self-Evolving Agentic Workflows for Automated Code Generation
Large Language Models (LLMs) have demonstrated effectiveness in code generation tasks.
Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis
Urban roads and infrastructure, vital to city operations, face growing threats from subsurface anomalies like cracks and cavities.
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
Deep learning architectures for supervised learning on tabular data range from simple multilayer perceptrons (MLP) to sophisticated Transformers and retrieval-augmented methods.
SkyReels-V2: Infinite-length Film Generative Model
Recent advances in video generation have been driven by diffusion models and autoregressive frameworks, yet critical challenges persist in harmonizing prompt adherence, visual quality, motion dynamics, and duration: compromises in motion dynamics to enhance temporal visual quality, constrained video duration (5-10 seconds) to prioritize resolution, and inadequate shot-aware generation stemming from general-purpose MLLMs' inability to interpret cinematic grammar, such as shot composition, actor expressions, and camera motions.
Advanced long-term earth system forecasting by learning the small-scale nature
easylearningscores/triton_ai4earth
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Reliable long-term forecast of Earth system dynamics is heavily hampered by instabilities in current AI models during extended autoregressive simulations.
AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora
hkust-knowcomp/autoschemakg
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We present AutoSchemaKG, a framework for fully autonomous knowledge graph construction that eliminates the need for predefined schemas.
