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Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction with NightLANP

arXiv:2605.27527v1 Announce Type: cross Abstract: Astrophysical observations taken from Earth are subject to weather, environmental, and scientific constraints that lead to sparse, irregular light cur

model-releasesarxiv-cs-lg

28 May 2026

Search: “eve”

EvE: An Alternate Optimizer to Adam

EVE: A Domain-Specific LLM Framework for Earth Intelligence

EVE: A Generator-Verifier System for Generative Policies

EVE-Agent: Evidence-Verifiable Self-Evolving Agents

EVE: Verifiable Self-Evolution of MLLMs via Executable Visual Transformations

Facet-Level Tracing of Evidence Uncertainty and Hallucination in RAG

Asynchronous Tracking, Optical Communication and 3D Motion Capture using Event-based Sensors

Residual Kalman Dynamics for Event-Based UAV Forecasting

Keypoint-based Dynamic Object 6-DoF Pose Tracking via Event Camera

Bidirectional Cross-Modal Prompting for Event-Frame Asymmetric Stereo

Evolutionary Ensemble of Agents

LOGIC: An LLM Benchmark for Intent-Grounded Change Impact in Aerospace Electrical Systems

Which LLM to pick? Online Active Model Selection for Large Language Models

SoftSkill: Behavioral Compression for Contextual Adaptation

SemVerBench: Benchmarking LLM Comprehension of Version-Constraint Resolution Semantics

Causal Foundation Models

DefaultShift: Auditing Semantic Default Shift in Accelerated Text-to-Image Models

Leaf Values as Coordinates: Exact Contrastive Explanation for Gradient-Boosted Ensembles

The Past and Future of AI Scientists

The LLM Proposes, the Executive Disposes: A Self-Verifying Agent Instrument that Dissociates Commitment Drift from Binding Drift in Long-Horizon Agents

Pingala: Prosody-Aware Decoding for Sanskrit Poetry Generation

The Evolutionary Origin of Values: implications for AI alignment, sentience and existential risk

EviBack: Search-Agent Reinforcement Learning via Evidence-Constrained Teacher Backoff

Monocular Vision Based Control Framework for Grasping

Reformulate LLM Reinforcement Learning for Efficient Training under Black-box Discrepancy

The Global Landscape of Environmental AI Regulation: From the Cost of Reasoning to a Right to Green AI

Reconsidering the energy efficiency of spiking neural networks

Multimodal Protein Language Models for Enzyme Kinetic Parameters: From Substrate Recognition to Conformational Adaptation

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation

Instinct vs. Reflection: Unifying Token and Verbalized Confidence in Multimodal Large Models

RemoteShield: Enable Robust Multimodal Large Language Models for Earth Observation

SynDocDis: A Metadata-Driven Framework for Generating Synthetic Physician Discussions Using Large Language Models

EyeTAG: Eye Trajectory-Aware Gaze Estimation

Channel-Informed Neural Network for Physical Layer Key Generation

YolovN-CBi: A Lightweight and Efficient Architecture for Real-Time Detection of Small UAVs

MaxModShift: Model Privacy via Designed Shifts

Evolutionary Curriculum Learning Improves Biological Sequence Modeling

Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction with NightLANP

An Affordable,Wearable Stereo-Eye-Tracking Platform

SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios

Physics-Informed Tracking (PIT)

Design and Validation of a Low-Cost Smartphone Based Fluorescence Detection Platform Compared with Conventional Microplate Readers

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet

Training-Free Semantic Multi-Object Tracking with Vision-Language Models

Agentic Control in Variational Language Models

RSGMamba: Reliability-Aware Self-Gated State Space Model for Multimodal Semantic Segmentation