Search: “evaluation”

Variational Feature Compression for Model-Specific Representations

model-releasesarxiv-cs-lg

arXiv:2604.06644v1 Announce Type: cross Abstract: As deep learning inference is increasingly deployed in shared and cloud-based settings, a growing concern is input repurposing, in which data submitte

Content type

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

Model Releases

Vision-Language Navigation for Aerial Robots: Towards the Era of Large Language Models

DGX agent

arXiv:2604.07705v1 Announce Type: new Abstract: Aerial vision-and-language navigation (Aerial VLN) aims to enable unmanned aerial vehicles (UAVs) to interpret natural language instructions and autonom

model-releasesarxiv-cs-ro

10 Apr 2026

Agents

VisionClaw: Always-On AI Agents through Smart Glasses

arXiv:2604.03486v2 Announce Type: replace-cross Abstract: We present VisionClaw, an always-on wearable AI agent that integrates live egocentric perception with agentic task execution. Running on Meta

agentsarxiv-cs-ai

Weakly Supervised Distillation of Hallucination Signals into Transformer Representations

model-releasesarxiv-cs-ai

arXiv:2604.06277v1 Announce Type: new Abstract: Existing hallucination detection methods for large language models (LLMs) rely on external verification at inference time, requiring gold answers, retri

Tutorials

What do Language Models Learn and When? The Implicit Curriculum Hypothesis

arXiv:2604.08510v1 Announce Type: new Abstract: Large language models (LLMs) can perform remarkably complex tasks, yet the fine-grained details of how these capabilities emerge during pretraining rema

tutorialsarxiv-cs-cl

Research

When Fine-Tuning Changes the Evidence: Architecture-Dependent Semantic Drift in Chest X-Ray Explanations

arXiv:2604.08513v1 Announce Type: new Abstract: Transfer learning followed by fine-tuning is widely adopted in medical image classification due to consistent gains in diagnostic performance. However,

researcharxiv-cs-cv

When to Call an Apple Red: Humans Follow Introspective Rules, VLMs Don't

model-releasesarxiv-cs-ai

arXiv:2604.06422v1 Announce Type: cross Abstract: Understanding when Vision-Language Models (VLMs) will behave unexpectedly, whether models can reliably predict their own behavior, and if models adher

When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning

model-releasesarxiv-cs-cl

arXiv:2604.08281v1 Announce Type: new Abstract: Large reasoning models (LRMs) have achieved strong performance enhancement through scaling test time computation, but due to the inherent limitations of

Agents

'Why This Avoidance Maneuver?' Contrastive Explanations in Human-Supervised Maritime Autonomous Navigation

arXiv:2604.08032v1 Announce Type: cross Abstract: Automated maritime collision avoidance will rely on human supervision for the foreseeable future. This necessitates transparency into how the system p

agentsarxiv-cs-ro

Agents

Working Paper: Towards a Category-theoretic Comparative Framework for Artificial General Intelligence

arXiv:2603.28906v2 Announce Type: replace Abstract: AGI has become the Holly Grail of AI with the promise of level intelligence and the major Tech companies around the world are investing unprecedente

agentsarxiv-cs-ai

Research

XR-CareerAssist: An Immersive Platform for Personalised Career Guidance Leveraging Extended Reality and Multimodal AI

arXiv:2604.06901v1 Announce Type: cross Abstract: Conventional career guidance platforms rely on static, text-driven interfaces that struggle to engage users or deliver personalised, evidence-based in

researcharxiv-cs-ai