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  • 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
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Knowledge catalogue

Search: “evaluation”

GridTimelineEvolution
39,611 results
Research

Deep Delta Learning

DGX agent

arXiv:2601.00417v3 Announce Type: replace-cross Abstract: Transformer residual streams evolve by additive accumulation: each layer appends a feature update to a shared hidden state, but has no direct

researcharxiv-cs-ai
14 May 2026
Applications

DeePen: Penetration Testing for Audio Deepfake Detection

DGX agent

arXiv:2502.20427v3 Announce Type: replace-cross Abstract: Deepfakes - manipulated or forged audio and video media - pose significant security risks to individuals, organizations, and society at large.

DGX agent

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applicationsarxiv-cs-ai
14 May 2026
Model Releases

Dense vs Sparse Pretraining at Tiny Scale: Active-Parameter vs Total-Parameter Matching

DGX agent

arXiv:2605.13769v1 Announce Type: cross Abstract: We study dense and mixture-of-experts (MoE) transformers in a tiny-scale pretraining regime under a shared LLaMA-style decoder training recipe. The sp

model-releasesarxiv-cs-lg
14 May 2026
Tutorials

Differentiable Learning of Lifted Action Schemas for Classical Planning

DGX agent

arXiv:2605.13282v1 Announce Type: new Abstract: Classical planners can effectively solve very large deterministic MDPs represented in STRIPS or PDDL where states are sets of atoms over objects and rel

tutorialsarxiv-cs-ai
14 May 2026
Tutorials

Distribution Shift in Missing Data Imputation: A Risk-Based Perspective and Importance-Weighted Correction under MAR

DGX agent

arXiv:2602.06713v2 Announce Type: replace-cross Abstract: Missing data imputation, where a model is trained on observed data to estimate unobserved values, is a fundamental problem in machine learning

tutorialsarxiv-cs-lg
14 May 2026
Research

Diversity of Extensions in Abstract Argumentation

DGX agent

arXiv:2605.13332v1 Announce Type: new Abstract: Argumentation is an important topic of AI for modelling and reasoning about arguments. In abstract argumentation, we consider directed graphs, so-called

researcharxiv-cs-ai
14 May 2026
Model Releases

Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack

DGX agent

arXiv:2605.12673v1 Announce Type: new Abstract: Agent benchmarks have become the de facto measure of frontier AI competence, guiding model selection, investment, and deployment. However, reward hackin

model-releasesarxiv-cs-ai
14 May 2026
Local Ai

Drag within Prior Distribution: Text-Conditioned Point-Based Image Editing within Distribution Constraints

DGX agent

arXiv:2605.13349v1 Announce Type: new Abstract: Diffusion-based point editing methods have gained significant traction in image editing tasks due to their ability to manipulate image semantics and fin

local-aiarxiv-cs-cv
14 May 2026
Model Releases

DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts

DGX agent

arXiv:2605.12998v1 Announce Type: new Abstract: Continual graph learning (CGL) aims to learn from dynamically evolving graphs while mitigating catastrophic forgetting. Existing CGL approaches typicall

model-releasesarxiv-cs-lg
14 May 2026
Research

Dual-Pathway Circuits of Object Hallucination in Vision-Language Models

DGX agent

arXiv:2605.13156v1 Announce Type: new Abstract: Vision-language models (VLMs) have demonstrated remarkable capabilities in bridging visual perception and natural language understanding, enabling a wid

researcharxiv-cs-cv
14 May 2026
Research

DynoJEPP: Joint Estimation, Prediction and Planning in Dynamic Environments

DGX agent

arXiv:2605.12897v1 Announce Type: new Abstract: DynoJEPP is a factor-graph-based framework that jointly formulates and simultaneously optimizes estimation, prediction, and planning in dynamic environm

researcharxiv-cs-ro
14 May 2026
Model Releases

EcoGEO: Trajectory-Aware Evidence Ecosystems for Web-Enabled LLM Search Agents

DGX agent

arXiv:2605.12887v1 Announce Type: cross Abstract: Web-enabled LLM agents are changing how online information influences search outcomes. Existing Generative Engine Optimization (GEO) studies mainly fo

model-releasesarxiv-cs-ai
14 May 2026
Model Releases

Efficient compression of neural networks and datasets

DGX agent

arXiv:2505.17469v2 Announce Type: replace-cross Abstract: Compression and generalization are fundamentally related through Solomonoff induction and the minimum description length principle (MDL), whic

model-releasesarxiv-cs-ai
14 May 2026
Agents

EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering

DGX agent

arXiv:2602.05242v1 Announce Type: cross Abstract: Agentic Test-Time Scaling (TTS) has delivered state-of-the-art (SOTA) performance on complex software engineering tasks such as code generation and bu

agentsarxiv-cs-lg
14 May 2026
Model Releases

Embodied Multi-Agent Coordination by Aligning World Models Through Dialogue

DGX agent

arXiv:2605.12920v1 Announce Type: cross Abstract: Effective collaboration between embodied agents requires more than acting in a shared environment; it demands communication grounded in each agent's e

model-releasesarxiv-cs-ai
14 May 2026
Model Releases

Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation

DGX agent

arXiv:2605.13315v1 Announce Type: cross Abstract: Biological neural networks (BNNs) have been established as a powerful and adaptive substrate that offer the potential for incredibly energy and data e

model-releasesarxiv-cs-lg
14 May 2026
Safety

Emergent and Subliminal Misalignment Through the Lens of Data-Mediated Transfer

DGX agent

arXiv:2605.12798v1 Announce Type: cross Abstract: Fine-tuning LLMs on narrow harmful datasets can induce Emergent Misalignment (EM), where models exhibit misaligned behavior far beyond the fine-tuning

safetyarxiv-cs-ai
14 May 2026
Applications

Exact Verification of Graph Neural Networks with Incremental Constraint Solving

DGX agent

arXiv:2508.09320v3 Announce Type: replace-cross Abstract: Graph neural networks (GNNs) are increasingly often employed in high-stakes applications, such as fraud detection or healthcare, but are susce

applicationsarxiv-cs-ai
14 May 2026
Model Releases

Fast and Compact Graph Cuts for the Boykov-Kolmogorov Algorithm

DGX agent

arXiv:2605.13402v1 Announce Type: new Abstract: Computing a minimum s-t cut in a graph is a solution to a wide range of computer vision problems, and is often done using the Boykov-Kolmogorov (BK) alg

model-releasesarxiv-cs-cv
14 May 2026
Model Releases

From Pixels to BFS: High Maze Accuracy Does Not Imply Visual Planning

DGX agent

arXiv:2603.26839v2 Announce Type: replace-cross Abstract: How do multimodal models solve visual spatial tasks -- through genuine planning, or through brute-force search in token space? We introduce ex

model-releasesarxiv-cs-cv
14 May 2026
Local Ai

GRIP-VLM: Group-Relative Importance Pruning for Efficient Vision-Language Models

DGX agent

arXiv:2605.13375v1 Announce Type: cross Abstract: In Vision-Language Models (VLMs), processing a massive number of visual tokens incurs prohibitive computational overhead. While recent training-aware

local-aiarxiv-cs-ai
14 May 2026
Model Releases

Hessian Matching for Machine-Learned Coarse-Grained Molecular Dynamics

DGX agent

arXiv:2605.12823v1 Announce Type: new Abstract: Coarse-grained (CG) molecular dynamics enables simulations of atomic systems such as biomolecules at timescales inaccessible to all-atom (AA) methods, b

model-releasesarxiv-cs-lg
14 May 2026
Model Releases

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning

DGX agent

arXiv:2605.13213v1 Announce Type: new Abstract: Multi-modal multi-agent systems (MM-MAS) have gained increasing attention for their capacity to enable complex reasoning and coordination across diverse

model-releasesarxiv-cs-ai
14 May 2026
Model Releases

HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning

DGX agent

arXiv:2605.13536v1 Announce Type: cross Abstract: High-Level Synthesis (HLS) compiles algorithmic C/C++ descriptions into hardware, with Quality of Results (QoR) -- latency and resource utilization --

model-releasesarxiv-cs-ai
14 May 2026
Agents

IdeaForge: A Knowledge Graph-Grounded Multi-Agent Framework for Cross-Methodology Innovation Analysis and Patent Claim Generation

DGX agent

arXiv:2605.13311v1 Announce Type: new Abstract: Current AI-assisted innovation systems typically apply a single ideation methodology (such as TRIZ or Design Thinking) using sequential prompt-based wor

agentsarxiv-cs-ai
14 May 2026
Research

IGT-OMD: Implicit Gradient Transport for Decision-Focused Learning under Delayed Feedback

DGX agent

arXiv:2605.12693v1 Announce Type: new Abstract: Decision-focused learning trains predictive models end-to-end against downstream decision loss, but online settings suffer delayed feedback: outcomes ma

researcharxiv-cs-lg
14 May 2026
Safety

Improving Classifier-Free Guidance of Flow Matching via Manifold Projection

DGX agent

arXiv:2601.21892v2 Announce Type: replace-cross Abstract: Classifier-free guidance (CFG) is a widely used technique for controllable generation in diffusion and flow-based models. Despite its empirica

safetyarxiv-cs-ai
14 May 2026
Safety

Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration

DGX agent

arXiv:2605.12573v1 Announce Type: cross Abstract: Diffusion-based posterior sampling (PS) is a leading framework for imaging inverse problems, combining learned priors with measurement constraints. Ye

safetyarxiv-cs-ai
14 May 2026
Safety

Integration of an Agent Model into an Open Simulation Architecture for Scenario-Based Testing of Automated Vehicles

DGX agent

arXiv:2605.13539v1 Announce Type: new Abstract: Simulative and scenario-based testing are crucial methods in the safety assurance for automated driving systems. To ensure that simulation results are r

safetyarxiv-cs-ro
14 May 2026
Safety

Is Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models

DGX agent

arXiv:2605.12725v1 Announce Type: new Abstract: Recent video anomaly detection research has expanded rapidly with an emphasis on general models of normality intended to work across many different scen

safetyarxiv-cs-cv
14 May 2026
Model Releases

ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks

DGX agent

arXiv:2605.12768v1 Announce Type: cross Abstract: Open time-series forecasting (TSF) benchmarks cover retail, energy, weather, and traffic, but supply-chain logistics remains underserved. We introduce

model-releasesarxiv-cs-lg
14 May 2026
Applications

It's not the Language Model, it's the Tool: Deterministic Mediation for Scientific Workflows

DGX agent

arXiv:2605.13245v1 Announce Type: new Abstract: Language models can produce convincing scientific analyses, but repeated generations on the same data do not guarantee the same result. A researcher may

applicationsarxiv-cs-ai
14 May 2026
Model Releases

Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance

DGX agent

arXiv:2603.02175v4 Announce Type: replace-cross Abstract: Instruction-based video editing has witnessed rapid progress, yet current methods often struggle with precise visual control, as natural langu

model-releasesarxiv-cs-ai
14 May 2026
Applications

KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving

DGX agent

arXiv:2605.13734v1 Announce Type: cross Abstract: LLMs are widely adopted in production, pushing inference systems to their limits. Disaggregated LLM serving (e.g., PD separation and KV state disaggre

applicationsarxiv-cs-ai
14 May 2026
Model Releases

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving

DGX agent

arXiv:2605.13137v1 Announce Type: cross Abstract: Proving theorems in Lean 4 often requires identifying a scattered set of library lemmas whose joint use enables a concise proof -- a task we call glob

model-releasesarxiv-cs-ai
14 May 2026
Applications

Learning Perturbations to Extrapolate Your LLM

DGX agent

arXiv:2605.13284v1 Announce Type: cross Abstract: Recent advancements in large language models demonstrate that injecting perturbations can substantially enhance extrapolation performance. However, cu

applicationsarxiv-cs-lg
14 May 2026
Safety

Learning Transferable Latent User Preferences for Human-Aligned Decision Making

DGX agent

arXiv:2605.12682v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as reasoning modules in many applications. While they are efficient in certain tasks, LLMs often stru

safetyarxiv-cs-ai
14 May 2026
Safety

Learning with Rare Success but Rich Feedback via Reflection-Enhanced Self-Distillation

DGX agent

arXiv:2605.12741v1 Announce Type: new Abstract: Enabling Large Language Models (LLMs) to continuously improve from environmental interactions is a central challenge in post-training. While on-policy s

safetyarxiv-cs-lg
14 May 2026
Research

LEXI-SG: Monocular 3D Scene Graph Mapping with Room-Guided Feed-Forward Reconstruction

DGX agent

arXiv:2605.13741v1 Announce Type: cross Abstract: Scene graphs are becoming a standard representation for robot navigation, providing hierarchical geometric and semantic scene understanding. However,

researcharxiv-cs-cv
14 May 2026
Model Releases

Lifelong Learning in Vision-Language Models: Enhanced EWC with Cross-Modal Knowledge Retention

DGX agent

arXiv:2605.12789v1 Announce Type: new Abstract: Large language-vision models (LVLMs) such as CLIP, Flamingo, and BLIP have revolutionized AI by enabling understanding across textual and visual modalit

model-releasesarxiv-cs-ro
14 May 2026
Research

LightSplit: Practical Privacy-Preserving Split Learning via Orthogonal Projections

DGX agent

arXiv:2605.13265v1 Announce Type: new Abstract: Split learning (SL) enables collaborative training by partitioning a neural network across clients and a central server, but the cut-layer interface int

researcharxiv-cs-lg
14 May 2026
Local Ai

LMU-Based Sequential Learning and Posterior Ensemble Fusion for Cross-Domain Infant Cry Classification

DGX agent

arXiv:2603.02245v3 Announce Type: replace-cross Abstract: Decoding infant cry causes remains challenging for healthcare monitoring due to short nonstationary signals, limited annotations, and strong d

local-aiarxiv-cs-lg
14 May 2026
Local Ai

Locale-Conditioned Few-Shot Prompting Mitigates Demonstration Regurgitation in On-Device PII Substitution with Small Language Models

DGX agent

arXiv:2605.13538v1 Announce Type: cross Abstract: Personally Identifiable Information (PII) redaction usually replaces detected entities with placeholder tokens such as [PERSON], destroying the downst

local-aiarxiv-cs-ai
14 May 2026
Model Releases

Low-Rank Adapters Initialization via Gradient Surgery for Continual Learning

DGX agent

arXiv:2605.12752v1 Announce Type: new Abstract: LoRA is widely adopted for continual fine-tuning of Large Language Models due to its parameter efficiency, modularity across tasks, and compatibility wi

model-releasesarxiv-cs-lg
14 May 2026
Research

M2Retinexformer: Multi-Modal Retinexformer for Low-Light Image Enhancement

DGX agent

arXiv:2605.12556v1 Announce Type: new Abstract: Low-light image enhancement is challenging due to complex degradations, including amplified noise, artifacts, and color distortion. While Retinex-based

researcharxiv-cs-cv
14 May 2026
Research

Machine Learning-Driven Multimodal Spectroscopic Liquid Biopsy for Early Multicancer Detection

DGX agent

arXiv:2605.13218v1 Announce Type: new Abstract: Cancer is one of the leading causes of death worldwide, making the development of rapid, minimally invasive, label-free and scalable diagnostic strategi

researcharxiv-cs-lg
14 May 2026
Research

Manipulation Planning for Construction Activities with Repetitive Tasks

DGX agent

arXiv:2605.13754v1 Announce Type: new Abstract: In this paper, we study the problem of manipulation skill acquisition for performing construction activities consisting of repetitive tasks (e.g., build

researcharxiv-cs-ro
14 May 2026
Agents

Mechanism Plausibility in Generative Agent-Based Modeling

DGX agent

arXiv:2605.12824v1 Announce Type: cross Abstract: Large language models (LLMs) can generate high-level diverse phenomena without explicitly programmed rules. This capability has led to their adoption

agentsarxiv-cs-ai
14 May 2026
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