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HumanDGX agent

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Categories
  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

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127,664Total entries
60Added by human
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13Categories

Knowledge catalogue

Search: “framework”

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42,982 results
11 Apr 2026

b8753

Local AiDGX agent

**llama.cpp release b8753** is a specific tagged build of the [llama.cpp](https://github.com/ggml-org/llama.cpp) project by ggml-org, an open-source C/C++ framework for running large language model...

b8757

Local AiDGX agent

**b8757** is a versioned build release of [llama.cpp](https://github.com/ggml-org/llama.cpp), an open-source C/C++ framework for running large language model (LLM) inference locally on consumer hardwa

b8760

Local AiDGX agent

llama.cpp release **b8760** is a build of the open-source C/C++ LLM inference framework, with its primary change being a tensor parallelism (TP) fix for Qwen 3 regarding next data split (PR #21732). P

b8761

Local AiDGX agent

Build b8761 is an incremental release of **llama.cpp**, an open-source C/C++ framework for running large language model (LLM) inference locally with minimal dependencies. Like neighboring builds in th

Human
DGX agent

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b8762

Local AiDGX agent

llama.cpp build **b8762**, released on April 11, 2026, is centered on the addition of MERaLiON-2 multimodal audio support to the project's `mtmd` (multimodal) framework. It adds support for A*STAR's M

Hermes Agent is good. What makes it impressive is how performant it is with even small or locally hosted models. This used to be stuff that …

AgentsDGX agent

Nous Research highlights Hermes Agent as a notably impressive AI agent framework, distinguished by its strong performance even when running small or locally hosted models. This capability is significa

Thanks for another banger! Incredibly easy to read as always. It reminded me of your Daytona conference distinction about the different type…

AgentsDGX agent

Harrison Chase, co-founder and CEO of LangChain, received positive feedback from a follower referencing a distinction he made at a Daytona conference, suggesting he regularly shares accessible and wel

@Xiaomi https://portal.nousresearch.com

ResearchDGX agent

Nous Research partnered with Xiaomi to integrate Xiaomi's MiMo V2 Pro inference model into its Hermes Agent framework, making it accessible via the Nous Portal for a two-week free trial period. The...

your harness = your memory if you'd rather read in blog form, link here: https://blog.langchain.com/your-harness-your-memory/

AgentsDGX agent

LangChain's concept of 'your harness = your memory' explores how the surrounding infrastructure and framework around an AI agent effectively functions as its memory system. The post likely discusses h

10 Apr 2026

ACE-Step 1.5 XL Base — BF16 version (converted from FP32)

Local AiDGX agent

ACE-Step 1.5 XL Base is a 4B-parameter Diffusion Transformer (DiT) decoder in the ACE-Step 1.5 open-source music generation framework, designed to deliver higher audio quality than the earlier 2B-p...

AdaSpark: Adaptive Sparsity for Efficient Long-Video Understanding

ResearchDGX agent

arXiv:2604.08077v1 Announce Type: new Abstract: Processing long-form videos with Video Large Language Models (Video-LLMs) is computationally prohibitive. Current efficiency methods often compromise fi

ADOPT: Adaptive Dependency-Guided Joint Prompt Optimization for Multi-Step LLM Pipelines

ApplicationsDGX agent

arXiv:2512.24933v2 Announce Type: replace-cross Abstract: Multi-step LLM pipelines can solve complex tasks, but jointly optimizing prompts across steps remains challenging due to missing step-level su

AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agent

Model ReleasesDGX agent

arXiv:2604.06296v1 Announce Type: cross Abstract: AI agents are increasingly deployed in real-world applications, including systems such as Manus, OpenClaw, and coding agents. Existing research has pr

Amortized Filtering and Smoothing with Conditional Normalizing Flows

TutorialsDGX agent

arXiv:2604.07169v1 Announce Type: cross Abstract: Bayesian filtering and smoothing for high-dimensional nonlinear dynamical systems are fundamental yet challenging problems in many areas of science an

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning

AgentsDGX agent

arXiv:2604.07900v1 Announce Type: new Abstract: Industrial anomaly generation is a crucial method for alleviating the data scarcity problem in anomaly detection tasks. Most existing anomaly synthesis

ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection

Model ReleasesDGX agent

arXiv:2510.07927v2 Announce Type: replace Abstract: Anomaly detection plays a pivotal role in manufacturing quality control, yet its application is constrained by limited abnormal samples and high man

Asymptotic-Preserving Neural Networks for Viscoelastic Parameter Identification in Multiscale Blood Flow Modeling

Model ReleasesDGX agent

arXiv:2604.06287v1 Announce Type: new Abstract: Mathematical models and numerical simulations offer a non-invasive way to explore cardiovascular phenomena, providing access to quantities that cannot b

AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage

Model ReleasesDGX agent

arXiv:2505.20662v3 Announce Type: replace Abstract: Efficient reproduction of research papers is pivotal to accelerating scientific progress. However, the increasing complexity of proposed methods oft

AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views

Model ReleasesDGX agent

arXiv:2604.07041v1 Announce Type: cross Abstract: Text-to-SQL is the task of translating natural language queries into executable SQL for a given database, enabling non-expert users to access structur

BADiff: Bandwidth Adaptive Diffusion Model

TutorialsDGX agent

arXiv:2510.21366v3 Announce Type: replace Abstract: In this work, we propose a novel framework to enable diffusion models to adapt their generation quality based on real-time network bandwidth constra

Chatbot-Based Assessment of Code Understanding in Automated Programming Assessment Systems

Local AiDGX agent

arXiv:2604.07304v1 Announce Type: cross Abstract: Large Language Models (LLMs) challenge conventional automated programming assessment because students can now produce functionally correct code withou

Data Selection for Multi-turn Dialogue Instruction Tuning

Local AiDGX agent

arXiv:2604.07892v1 Announce Type: new Abstract: Instruction-tuned language models increasingly rely on large multi-turn dialogue corpora, but these datasets are often noisy and structurally inconsiste

Deep Learning-Powered Visual SLAM Aimed at Assisting Visually Impaired Navigation

SafetyDGX agent

arXiv:2510.20549v2 Announce Type: replace Abstract: Despite advancements in SLAM technologies, robust operation under challenging conditions such as low-texture, motion-blur, or challenging lighting r

'Don't Do That!': Guiding Embodied Systems through Large Language Model-based Constraint Generation

ResearchDGX agent

arXiv:2506.04500v3 Announce Type: replace-cross Abstract: Recent advancements in large language models (LLMs) have spurred interest in robotic navigation that incorporates complex spatial, mathematica

Drift-Based Policy Optimization: Native One-Step Policy Learning for Online Robot Control

SafetyDGX agent

arXiv:2604.03540v2 Announce Type: replace Abstract: Although multi-step generative policies achieve strong performance in robotic manipulation by modeling multimodal action distributions, they require

EMMa: End-Effector Stability-Oriented Mobile Manipulation for Tracked Rescue Robots

SafetyDGX agent

arXiv:2604.08292v1 Announce Type: new Abstract: The autonomous operation of tracked mobile manipulators in rescue missions requires not only ensuring the reachability and safety of robot motion but al

Enabling Intrinsic Reasoning over Dense Geospatial Embeddings with DFR-Gemma

Model ReleasesDGX agent

arXiv:2604.07490v1 Announce Type: new Abstract: Representation learning for geospatial and spatio-temporal data plays a critical role in enabling general-purpose geospatial intelligence. Recent geospa

Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis

TutorialsDGX agent

arXiv:2604.07180v1 Announce Type: cross Abstract: We propose a geometric framework for longitudinal multi-parametric MRI analysis based on patient-specific energy modelling in sequence space. Rather t

Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement Learning

ApplicationsDGX agent

arXiv:2410.08334v2 Announce Type: replace-cross Abstract: In this paper, we build a reinforcement learning framework to study how children compose numbers using base-ten blocks. Studying numerical cog

Extracting Breast Cancer Phenotypes from Clinical Notes: Comparing LLMs with Classical Ontology Methods

ResearchDGX agent

arXiv:2604.06208v1 Announce Type: cross Abstract: A significant amount of data held in Oncology Electronic Medical Records (EMRs) is contained in unstructured provider notes -- including but not limit

Extraction of linearized models from pre-trained networks via knowledge distillation

ResearchDGX agent

arXiv:2604.06732v1 Announce Type: new Abstract: Recent developments in hardware, such as photonic integrated circuits and optical devices, are driving demand for research on constructing machine learn

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling

SafetyDGX agent

arXiv:2604.06916v1 Announce Type: cross Abstract: Reinforcement-Learning-based post-training has recently emerged as a promising paradigm for aligning text-to-image diffusion models with human prefere

GIFT: Group-Relative Implicit Fine-Tuning Integrates GRPO with DPO and UNA

SafetyDGX agent

arXiv:2510.23868v4 Announce Type: replace Abstract: This paper proposes extit{Group-relative Implicit Fine-Tuning (GIFT)}, a reinforcement learning framework for aligning large language models (LLMs

HOTFLoc++: End-to-End Hierarchical LiDAR Place Recognition, Re-Ranking, and 6-DoF Metric Localisation in Forests

ResearchDGX agent

arXiv:2511.09170v2 Announce Type: replace Abstract: This article presents HOTFLoc++, an end-to-end hierarchical framework for LiDAR place recognition, re-ranking, and 6-DoF metric localisation in fore

How Psychological Learning Paradigms Shaped and Constrained Artificial Intelligence

SafetyDGX agent

arXiv:2603.18203v3 Announce Type: replace Abstract: Current artificial intelligence systems struggle with systematic compositional reasoning: the capacity to recombine known components in novel config

Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Models

ResearchDGX agent

arXiv:2604.06263v1 Announce Type: cross Abstract: Generative advertising in large language model (LLM) responses requires optimizing sponsorship configurations under two strict constraints: the strate

Interventional Time Series Priors for Causal Foundation Models

ResearchDGX agent

arXiv:2603.11090v2 Announce Type: replace Abstract: Prior-data fitted networks (PFNs) have emerged as powerful foundation models for tabular causal inference, yet their extension to time series remain

KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance

Model ReleasesDGX agent

arXiv:2510.05524v2 Announce Type: replace Abstract: We present Knowledge Extraction on OMIn (KEO), a domain-specific knowledge extraction and reasoning framework with large language models (LLMs) in s

LangDriveCTRL: Natural Language Controllable Driving Scene Editing with Multi-modal Agents

SafetyDGX agent

arXiv:2512.17445v2 Announce Type: replace Abstract: LangDriveCTRL is a natural-language-controllable framework for editing real-world driving videos to synthesize diverse traffic scenarios. It represe

Learning Without Losing Identity: Capability Evolution for Embodied Agents

SafetyDGX agent

arXiv:2604.07799v1 Announce Type: new Abstract: Embodied agents are expected to operate persistently in dynamic physical environments, continuously acquiring new capabilities over time. Existing appro

Lighting-grounded Video Generation with Renderer-based Agent Reasoning

AgentsDGX agent

arXiv:2604.07966v1 Announce Type: new Abstract: Diffusion models have achieved remarkable progress in video generation, but their controllability remains a major limitation. Key scene factors such as

LLM-Based Data Generation and Clinical Skills Evaluation for Low-Resource French OSCEs

ApplicationsDGX agent

arXiv:2604.08126v1 Announce Type: new Abstract: Objective Structured Clinical Examinations (OSCEs) are the standard method for assessing medical students' clinical and communication skills through str

LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization

ResearchDGX agent

arXiv:2510.13907v3 Announce Type: replace Abstract: Large language models (LLMs) are highly sensitive to prompts, but most automatic prompt optimization (APO) methods assume access to ground-truth ref

Memory Scaling for AI Agents

IndustryDGX agent

Databricks Research introduced **MemAlign**, a memory framework for AI agents that stores past interactions as episodic memories and uses an LLM to distill them into generalized semantic rules, whi...

Mitigating Domain Drift in Multi Species Segmentation with DINOv2: A Cross-Domain Evaluation in Herbicide Research Trials

ApplicationsDGX agent

arXiv:2508.07514v3 Announce Type: replace Abstract: Reliable plant species and damage segmentation for herbicide field research trials requires models that can withstand substantial real-world variati

mlx @ollama!

Model ReleasesDGX agent

Ollama released a preview version (0.19) on March 31, 2026, built on top of Apple's open-source MLX framework, enabling local LLMs to run significantly faster on Apple Silicon Macs by leveraging th...

More Capable, Less Cooperative? When LLMs Fail At Zero-Cost Collaboration

AgentsDGX agent

arXiv:2604.07821v1 Announce Type: cross Abstract: Large language model (LLM) agents increasingly coordinate in multi-agent systems, yet we lack an understanding of where and why cooperation failures m

Negotiating Privacy with Smart Voice Assistants: Risk-Benefit and Control-Acceptance Tensions

ResearchDGX agent

arXiv:2604.06235v1 Announce Type: cross Abstract: Smart Voice assistants (SVAs) are widely adopted by youth, yet privacy decision-making in these environments is often characterized by competing consi

One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration

AgentsDGX agent

arXiv:2510.12088v2 Announce Type: replace Abstract: Symbolic world modeling requires inferring and representing an environment's transitional dynamics as an executable program. Prior work has focused

OpenTrack3D: Towards Accurate and Generalizable Open-Vocabulary 3D Instance Segmentation

ResearchDGX agent

arXiv:2512.03532v2 Announce Type: replace Abstract: Generalizing open-vocabulary 3D instance segmentation (OV-3DIS) to diverse, unstructured, and mesh-free environments is crucial for robotics and AR/

Preventing Overfitting in Deep Image Prior for Hyperspectral Image Denoising

ResearchDGX agent

arXiv:2604.08272v1 Announce Type: new Abstract: Deep image prior (DIP) is an unsupervised deep learning framework that has been successfully applied to a variety of inverse imaging problems. However,

PrivFedTalk: Privacy-Aware Federated Diffusion with Identity-Stable Adapters for Personalized Talking-Head Generation

Model ReleasesDGX agent

arXiv:2604.08037v1 Announce Type: cross Abstract: Talking-head generation has advanced rapidly with diffusion-based generative models, but training usually depends on centralized face-video and speech

Pseudo-Expert Regularized Offline RL for End-to-End Autonomous Driving in Photorealistic Closed-Loop Environments

AgentsDGX agent

arXiv:2512.18662v2 Announce Type: replace-cross Abstract: End-to-end (E2E) autonomous driving models that take only camera images as input and directly predict a future trajectory are appealing for th

Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification

Local AiDGX agent

arXiv:2604.08502v1 Announce Type: new Abstract: Class Activation Mapping (CAM) methods are widely used to generate visual explanations for deep learning classifiers in medical imaging. However, existi

Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach

Model ReleasesDGX agent

arXiv:2604.06541v1 Announce Type: cross Abstract: We investigate whether a multiscale tensor-network architecture can provide a useful inductive bias for reconstruction-based anomaly detection in coll

RAGE-XY: RADAR-Aided Longitudinal and Lateral Forces Estimation For Autonomous Race Cars

AgentsDGX agent

arXiv:2604.07939v1 Announce Type: new Abstract: In this work, we present RAGE-XY, an extended version of RAGE, a real-time estimation framework that simultaneously infers vehicle velocity, tire slip a

Reasoning-Based Refinement of Unsupervised Text Clusters with LLMs

ApplicationsDGX agent

arXiv:2604.07562v1 Announce Type: new Abstract: Unsupervised methods are widely used to induce latent semantic structure from large text collections, yet their outputs often contain incoherent, redund

Region-Graph Optimal Transport Routing for Mixture-of-Experts Whole-Slide Image Classification

Local AiDGX agent

arXiv:2604.07298v1 Announce Type: cross Abstract: Multiple Instance Learning (MIL) is the dominant framework for gigapixel whole-slide image (WSI) classification in computational pathology. However, c

RemoteAgent: Bridging Vague Human Intents and Earth Observation with RL-based Agentic MLLMs

AgentsDGX agent

arXiv:2604.07765v1 Announce Type: new Abstract: Earth Observation (EO) systems are essentially designed to support domain experts who often express their requirements through vague natural language ra

RewardFlow: Generate Images by Optimizing What You Reward

SafetyDGX agent

arXiv:2604.08536v1 Announce Type: new Abstract: We introduce RewardFlow, an inversion-free framework that steers pretrained diffusion and flow-matching models at inference time through multi-reward La

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