Trending Research
LLMs Get Lost In Multi-Turn Conversation
Large Language Models (LLMs) are conversational interfaces.
Zep: A Temporal Knowledge Graph Architecture for Agent Memory
We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark.
Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents
Computer use agents automate digital tasks by directly interacting with graphical user interfaces (GUIs) on computers and mobile devices, offering significant potential to enhance human productivity by completing an open-ended space of user queries.
LBM: Latent Bridge Matching for Fast Image-to-Image Translation
gojasper/lbm
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In this paper, we introduce Latent Bridge Matching (LBM), a new, versatile and scalable method that relies on Bridge Matching in a latent space to achieve fast image-to-image translation.
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.
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Large reasoning models (LRMs), such as OpenAI-o1 and DeepSeek-R1, demonstrate impressive long-horizon reasoning capabilities.
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models
zhiyuanhubj/meta-ability-alignment
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Large reasoning models (LRMs) already possess a latent capacity for long chain-of-thought reasoning.
Unified Continuous Generative Models
LINs-Lab/UCGM
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We introduce a unified framework for training, sampling, and analyzing these models.
Ranked #1 on
Image Generation
on ImageNet 256x256
AlphaNet: Scaling Up Local-frame-based Atomistic Interatomic Potential
zmyybc/alphanet
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Molecular dynamics simulations demand an unprecedented combination of accuracy and scalability to tackle grand challenges in catalysis and materials design.
Fast Text-to-Audio Generation with Adversarial Post-Training
stability-ai/stable-audio-tools
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Text-to-audio systems, while increasingly performant, are slow at inference time, thus making their latency unpractical for many creative applications.
