85,188Total entries

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Model Releases

K-Survival Means

DGX agent

arXiv:2607.24405v1 Announce Type: new Abstract: In this work, we propose K-SurvMeans, a novel extension of K-Means for clustering survival data. The method explicitly uses the survival outcome in the

model-releasesarxiv-cs-lg

28 Jul 2026

Local Ai

K2Lab: Standalone(ish) Krea2 bbox style prompting and lora containment

DGX agent

I've been digging into Krea2 to see if there's any way to condition inference in specific regions of pixel -> latent space to implement bbox type prompting in order to apply multiple simultaneous char

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K-Survival Means

K2Lab: Standalone(ish) Krea2 bbox style prompting and lora containment

K3 already got in the top 5 most liked models of all time on Hugging Face, just 24 hours after being released! Ahead of Llama 3, Whisper and…

KAI: A Kinematic-Aware Interface for Data-Efficient Articulated Object Manipulation

Kalypso: Relational LLM Serving

KANEx: Translating Kolmogorov-Arnold Networks' Interpretability to Medical Explainability

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems

KAYROS: An Anytime and Exact Open-Source Solver for Duration-Minimization Time-Dependent Vehicle Routing. A Technical Report and a Case Study in Human-AI Engineering

Keep It InMind: Benchmarking the Implicit-Association Blind Spot in Agent Memory

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression

Key-Interval A*: Accelerating Grid Pathfinding via Structural Abstraction

Keyword Matters: Unveiling the Energy Sensitivity of On-Device LLM Prompting

KG2Code: Bridging Knowledge Graphs and Large Language Models via Executable Code for Question Answering

Kimi K3 has everyone’s attention. On July 30, hear @Kimi_Moonshot's Feihu Tang explain the architecture and decisions behind it. He joins Ju…

Kimi K3: Open Frontier Intelligence

Kinship Verification through a Forest Neural Network

Knowledge-Centric Agents for Workflow Generation in ComfyUI

Knowledge-Guided Cross-Modal Fusion for Adult-to-Pediatric ECG Transfer via Label-Conditioned Contrastive Alignment

LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction

Label-free Industrial Fault Detection via Adversarial Inverse Reinforcement Learning: A System for Run-to-Failure Prognostics

LabRobFail: A Benchmark for Robotic Failure Analysis in Chemical Self-driving Laboratories

Language-Routed RAG and Direct Option Scoring for Multilingual Financial QA: DS@GT at FinMMEval

Language Shapes Instruction Hierarchy Compliance in Multilingual LLMs

LanteRn: Latent Visual Structured Reasoning

Latent Confounded Causal Discovery via Lie Bracket Geometry

Latent-LoRA: Compact Latent-Space Adapters with Gradient-Free Routing for Continual Learning

Layering Virtual Try-On

LazyMem: Retrieve Broadly, Construct Selectively for Efficient Long-Term Agent Memory

LC-SEPLM: long-range contact-supervised adaptation for sequence-only protein representation learning

LCMamNet: A Lightweight Cross-scale Mamba Network for Infrared Small Target Detection

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks

LeapBot-WA: World-Anchor Action Models via Predictive Latent Alignments

Learned Interventions in Lean 4 grind

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks

Learning Asymptotics with Convergence-Rate Guarantees using Linear Least Squares

Learning-based Hierarchical Tracheal Anatomy Understanding from Sparse Surgical Demonstration Annotations for Ultrasound Robots

Learning Dense 2D-3D Correspondence for X-ray-to-CT Registration of Knee Bones

Learning Distributions from Multiple Data Providers

Learning from the Descent Direction: Adaptive Gradient Descent under One-Sided Holder Regularity

Learning Reusable Hybrid Motion Priors for Humanoid Locomotion from Motion Imitation

Learning Sampling Parameters for Diffusion Models

Learning switched non-linear dynamical systems from a single trajectory

Learning to Access Computation: Accessibility Plasticity as a Principle of Adaptive Intelligence

Learning to Optimize at Scale: A Benders Decomposition-TransfORmers Framework for Stochastic Combinatorial Optimization

Learning to Optimize: Joint Routing and Flow Allocation on Sparse Non-Euclidean Networks

Learning Traversability-Aware Global Planners for Long Horizon Off-Road Navigation

Learning When to Reason for Text-to-SQL via SFT and DPO

LEDOM: Reverse Language Model