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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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Human
127,664Total entries
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127,604Found by agent
13Categories

Knowledge catalogue

Search: “inference”

GridTimelineEvolution
17,838 results
Safety

VGR: Visual Grounded Reasoning

DGX agent

arXiv:2506.11991v3 Announce Type: replace-cross Abstract: In the field of multimodal chain-of-thought (CoT) reasoning, existing approaches predominantly rely on reasoning on pure language space, which

safetyarxiv-cs-cl
4 May 2026
Model Releases

VLAs are Confined yet Capable of Generalizing to Novel Instructions

DGX agent

arXiv:2505.03500v5 Announce Type: replace Abstract: Vision-language-action models (VLAs) often achieve high performance on demonstrated tasks but struggle significantly when required to extrapolate, c

DGX agent

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model-releasesarxiv-cs-ro
4 May 2026
Research

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation

DGX agent

arXiv:2604.27383v1 Announce Type: cross Abstract: Nasotracheal intubation (NTI) is a critical clinical procedure for establishing and maintaining patient airway patency. Machine-assisted NTI has emerg

researcharxiv-cs-cv
1 May 2026
Safety

ANCORA: Learning to Question via Manifold-Anchored Self-Play for Verifiable Reasoning

DGX agent

arXiv:2604.27644v1 Announce Type: cross Abstract: We propose a paradigm shift from learning to answer to learning to question: can a language model generate verifiable problems, solve them, and turn t

safetyarxiv-cs-ai
1 May 2026
Model Releases

BoostLoRA: Growing Effective Rank by Boosting Adapters

DGX agent

arXiv:2604.27308v1 Announce Type: cross Abstract: Parameter-efficient fine-tuning (PEFT) methods face a tradeoff between adapter size and expressivity: ultra-low-parameter adapters are confined to fix

model-releasesarxiv-cs-ai
1 May 2026
Research

Contextual Online Uncertainty-Aware Preference Learning for Human Feedback

DGX agent

arXiv:2504.19342v3 Announce Type: replace-cross Abstract: Reinforcement Learning from Human Feedback (RLHF) has become a pivotal paradigm in artificial intelligence to align large models with human pr

researcharxiv-cs-lg
1 May 2026
Research

Continuous-tone Simple Points: An ell_0-Norm of Cyclic Gradient for Topology-Preserving Data-Driven Image Segmentation

DGX agent

arXiv:2604.28159v1 Announce Type: new Abstract: Topological features play an essential role in ensuring geometric plausibility and structural consistency in image analysis tasks such as segmentation a

researcharxiv-cs-cv
1 May 2026
Model Releases

Decoding Scientific Experimental Images: The SPUR Benchmark for Perception, Understanding, and Reasoning

DGX agent

arXiv:2604.27604v1 Announce Type: new Abstract: We introduce SPUR, a comprehensive benchmark for scientific experimental image perception, understanding, and reasoning, comprising 4,264 question-answe

model-releasesarxiv-cs-cv
1 May 2026
Research

Differentiable latent structure discovery for interpretable forecasting in clinical time series

DGX agent

arXiv:2604.27967v1 Announce Type: new Abstract: Background: Timely, uncertainty-aware forecasting from irregular electronic health records (EHR) can support critical-care decisions, yet most approache

researcharxiv-cs-lg
1 May 2026
Model Releases

DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models

DGX agent

arXiv:2604.27929v1 Announce Type: new Abstract: With the widespread adoption of large language models (LLMs), understanding their personality representation mechanisms has become critical. As a novel

model-releasesarxiv-cs-cl
1 May 2026
Local Ai

Echo-{alpha}: Large Agentic Multimodal Reasoning Model for Ultrasound Interpretation

DGX agent

arXiv:2604.28011v1 Announce Type: new Abstract: Ultrasound interpretation requires both precise lesion localization and holistic clinical reasoning, yet existing methods typically excel at only one of

local-aiarxiv-cs-cv
1 May 2026
Applications

Epistemic reflections on AI answering our questions: overwatch, erudite, logician, interlocutor

DGX agent

arXiv:2304.14352v2 Announce Type: replace-cross Abstract: Currently, there is a trend for the wider public to rely on LLMs for financial or legal consultation, medical and mental support (Chatterji et

applicationsarxiv-cs-ai
1 May 2026
Model Releases

Exploring the Limits of Pruning: Task-Specific Neurons, Model Collapse, and Recovery in Task-Specific Large Language Models

DGX agent

arXiv:2604.27115v1 Announce Type: new Abstract: Neuron pruning is widely used to reduce the computational cost and parameter footprint of large language models, yet it remains unclear whether neurons

model-releasesarxiv-cs-cl
1 May 2026
Research

Exponential families from a single KL identity

DGX agent

arXiv:2604.28036v1 Announce Type: new Abstract: Exponential families encompass the distributions central to modern machine learning -- softmax, Gaussians, and Boltzmann distributions -- and underlie t

researcharxiv-cs-lg
1 May 2026
Applications

FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering

DGX agent

arXiv:2601.06992v2 Announce Type: replace-cross Abstract: Financial question answering (QA) over long corporate filings requires evidence to satisfy strict constraints on entities, financial metrics,

applicationsarxiv-cs-ai
1 May 2026
Model Releases

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs

DGX agent

arXiv:2506.07180v3 Announce Type: replace-cross Abstract: As video large language models (Video-LLMs) become increasingly integrated into real-world applications that demand grounded multimodal reason

model-releasesarxiv-cs-ai
1 May 2026
Agents

From Context to Skills: Can Language Models Learn from Context Skillfully?

DGX agent

arXiv:2604.27660v1 Announce Type: new Abstract: Many real-world tasks require language models (LMs) to reason over complex contexts that exceed their parametric knowledge. This calls for context learn

agentsarxiv-cs-ai
1 May 2026
Safety

From surveillance to signalling: escalation channels as environmental controls for agentic AI

DGX agent

arXiv:2510.05192v2 Announce Type: replace-cross Abstract: When AI agents operating with access to sensitive information encounter a conflict between completing an assigned task and following rules or

safetyarxiv-cs-ai
1 May 2026
Model Releases

Generalizable Sparse-View 3D Reconstruction from Unconstrained Images

DGX agent

arXiv:2604.28193v1 Announce Type: new Abstract: Reconstructing 3D scenes from sparse, unposed images remains challenging under real-world conditions with varying illumination and transient occlusions.

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

Generate Your Talking Avatar from Video Reference

DGX agent

arXiv:2604.27918v1 Announce Type: new Abstract: Existing talking avatar methods typically adopt an image-to-video pipeline conditioned on a static reference image within the same scene as the target g

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

Gradient-Based Optimization on Godel Logic as Discrete Local Search

DGX agent

arXiv:2503.01817v2 Announce Type: replace Abstract: A fundamental challenge in neurosymbolic systems is applying continuous gradient-based optimization to discrete logical domains. While fuzzy relaxat

local-aiarxiv-cs-lg
1 May 2026
Model Releases

Grounding Agent Memory in Contextual Intent

DGX agent

arXiv:2601.10702v2 Announce Type: replace-cross Abstract: Deploying large language models in long-horizon, goal-oriented interactions remains challenging because similar entities and facts recur under

model-releasesarxiv-cs-ai
1 May 2026
Agents

Heterogeneous Scientific Foundation Model Collaboration

DGX agent

arXiv:2604.27351v1 Announce Type: new Abstract: Agentic large language model systems have demonstrated strong capabilities. However, their reliance on language as the universal interface fundamentally

agentsarxiv-cs-ai
1 May 2026
Safety

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance

DGX agent

arXiv:2604.27147v1 Announce Type: cross Abstract: In generative modeling, we often wish to produce samples that maximize a user-specified reward such as aesthetic quality or alignment with human prefe

safetyarxiv-cs-ai
1 May 2026
Research

In-Context Examples Suppress Scientific Knowledge Recall in LLMs

DGX agent

arXiv:2604.27540v1 Announce Type: new Abstract: Scientific reasoning rarely stops at what is directly observable; it often requires uncovering hidden structure from data. From estimating reaction cons

researcharxiv-cs-ai
1 May 2026
Safety

Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists

DGX agent

arXiv:2604.28158v1 Announce Type: new Abstract: Existing research infrastructure is fundamentally document-centric, providing citation links between papers but lacking explicit representations of meth

safetyarxiv-cs-ai
1 May 2026
Safety

Knowledge Graph Representations for LLM-Based Policy Compliance Reasoning

DGX agent

arXiv:2604.27713v1 Announce Type: new Abstract: The risks posed by AI features are increasing as they are rapidly integrated into software applications. In response, regulations and standards for safe

safetyarxiv-cs-ai
1 May 2026
Model Releases

Learning Generalizable Multimodal Representations for Software Vulnerability Detection

DGX agent

arXiv:2604.25711v2 Announce Type: replace-cross Abstract: Source code and its accompanying comments are complementary yet naturally aligned modalities-code encodes structural logic while comments capt

model-releasesarxiv-cs-ai
1 May 2026
Applications

Learning to Reason: Targeted Knowledge Discovery and Fuzzy Logic Update for Robust Image Recognition

DGX agent

arXiv:2604.27759v1 Announce Type: cross Abstract: Integrating domain knowledge into deep neural networks is a promising way to improve generalization. Existing methods either encode prior knowledge in

applicationsarxiv-cs-ai
1 May 2026
Model Releases

Lightweight Distillation of SAM 3 and DINOv3 for Edge-Deployable Individual-Level Livestock Monitoring and Longitudinal Visual Analytics

DGX agent

arXiv:2604.27128v1 Announce Type: cross Abstract: Foundation-model pipelines for individual-level livestock monitoring -- combining open-vocabulary detection, promptable video segmentation, and self-s

model-releasesarxiv-cs-ai
1 May 2026
Research

Linear-Core Surrogates: Smooth Loss Functions with Linear Rates for Classification and Structured Prediction

DGX agent

arXiv:2604.27742v1 Announce Type: new Abstract: The choice of loss function in classification involves a fundamental trade-off: smooth losses (like Cross-Entropy) enable fast optimization rates but yi

researcharxiv-cs-lg
1 May 2026
Research

LLMs Capture Emotion Labels, Not Emotion Uncertainty: Distributional Analysis and Calibration of Human--LLM Judgment Gaps

DGX agent

arXiv:2604.27345v1 Announce Type: new Abstract: Human annotators frequently disagree on emotion labels, yet most evaluations of Large Language Model (LLM) emotion annotation collapse these judgments i

researcharxiv-cs-cl
1 May 2026
Agents

Machine Collective Intelligence for Explainable Scientific Discovery

DGX agent

arXiv:2604.27297v1 Announce Type: new Abstract: Deriving governing equations from empirical observations is a longstanding challenge in science. Although artificial intelligence (AI) has demonstrated

agentsarxiv-cs-ai
1 May 2026
Model Releases

Mapping the Phase Diagram of the Vicsek Model with Machine Learning

DGX agent

arXiv:2604.28167v1 Announce Type: cross Abstract: In this study, we use machine learning to classify and interpolate the phase structure of the Vicsek flocking model across the three-dimensional param

model-releasesarxiv-cs-lg
1 May 2026
Safety

METASYMBO: Multi-Agent Language-Guided Metamaterial Discovery via Symbolic Latent Evolution

DGX agent

arXiv:2604.27300v1 Announce Type: new Abstract: Metamaterial discovery seeks microstructured materials whose geometry induces targeted mechanical behavior. Existing inverse-design methods can efficien

safetyarxiv-cs-ai
1 May 2026
Model Releases

MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction

DGX agent

arXiv:2604.27393v1 Announce Type: new Abstract: Recent progress in multimodal large language models (MLLMs) has brought AI capabilities from static offline data processing to real-time streaming inter

model-releasesarxiv-cs-cl
1 May 2026
Safety

Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO

DGX agent

arXiv:2603.21016v2 Announce Type: replace-cross Abstract: Large language models (LLMs) used for multiple-choice and pairwise evaluation tasks often exhibit selection bias due to non-semantic factors l

safetyarxiv-cs-ai
1 May 2026
Local Ai

MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons

DGX agent

arXiv:2604.28130v1 Announce Type: new Abstract: Recent methods for arbitrary-skeleton motion capture from monocular video follow a factorized pipeline, where a Video-to-Pose network predicts joint pos

local-aiarxiv-cs-cv
1 May 2026
Tutorials

Neural Aided Kalman Filtering for UAV State Estimation in Degraded Sensing Environments

DGX agent

arXiv:2604.28107v1 Announce Type: new Abstract: Accurate state estimation of nonlinear dynamical systems is fundamental to modern aerospace operations across air, sea, and space domains. Online tracki

tutorialsarxiv-cs-lg
1 May 2026
Research

Path-Lock Expert: Separating Reasoning Mode in Hybrid Thinking via Architecture-Level Separation

DGX agent

arXiv:2604.27201v1 Announce Type: cross Abstract: Hybrid-thinking language models expose explicit think and no-think modes, but current designs do not separate them cleanly. Even in no-think mode, mod

researcharxiv-cs-ai
1 May 2026
Model Releases

PhyCo: Learning Controllable Physical Priors for Generative Motion

DGX agent

arXiv:2604.28169v1 Announce Type: cross Abstract: Modern video diffusion models excel at appearance synthesis but still struggle with physical consistency: objects drift, collisions lack realistic reb

model-releasesarxiv-cs-ai
1 May 2026
Applications

Predicting Covariate-Driven Spatial Deformation for Nonstationary Gaussian Processes

DGX agent

arXiv:2604.27280v1 Announce Type: new Abstract: Nonstationary Gaussian processes (GPs) are essential for modeling complex, locally heterogeneous spatial data. A common modeling approach is the spatial

applicationsarxiv-cs-lg
1 May 2026
Research

Proactive Dialogue Model with Intent Prediction

DGX agent

arXiv:2604.27379v1 Announce Type: new Abstract: Dialogue models are inherently reactive, responding to the current user turn without anticipating upcoming intents, which leads to redundant interaction

researcharxiv-cs-cl
1 May 2026
Model Releases

REBENCH: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names (Extended Version)

DGX agent

arXiv:2604.27319v1 Announce Type: cross Abstract: Large Language Models (LLMs) have achieved remarkable progress in recent years, driving their adoption across a wide range of domains, including compu

model-releasesarxiv-cs-lg
1 May 2026
Applications

Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding

DGX agent

arXiv:2604.28028v1 Announce Type: cross Abstract: Large language models (LLMs) have revolutionized Text-to-SQL generation, allowing users to query structured data using natural language with growing e

applicationsarxiv-cs-ai
1 May 2026
Research

Revealing the Impact of Visual Text Style on Attribute-based Descriptions Produced by Large Visual Language Models

DGX agent

arXiv:2604.27553v1 Announce Type: new Abstract: When the visual style of text is considered, a wide variety can be observed in font, color, and size. However, when a word is read, its meaning is indep

researcharxiv-cs-cv
1 May 2026
Research

Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection

DGX agent

arXiv:2604.27617v1 Announce Type: cross Abstract: With the widespread application of Unmanned Aerial Vehicles (UAVs) in bridge structural health monitoring, deep learning-based automatic crack detecti

researcharxiv-cs-ai
1 May 2026
Research

RopeDreamer: A Kinematic Recurrent State Space Model for Dynamics of Flexible Deformable Linear Objects

DGX agent

arXiv:2604.28161v1 Announce Type: new Abstract: The robotic manipulation of Deformable Linear Objects (DLOs) is a fundamental challenge due to the high-dimensional, non-linear dynamics of flexible str

researcharxiv-cs-ro
1 May 2026
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