arXiv
Neural Cellular Automata Learn General Features in their Hidden Channels
Modern deep learning models achieve impressive generalization through over-parameterization, but this paradigm often ...
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arXiv
Benchmarking the Explanatory Quality of Open-Weight Vision-Language Models in Face Recognition
Vision-Language Models (VLMs) have recently been proposed as promising tools for face recognition, as they can produc...
arXiv
Detecting Pretraining Data in Large Language Models from a Free-Energy Perspective
Detecting pretraining data in large language models is challenging because high likelihood can reflect either trainin...
arXiv
What Should We Ask Next? Retrieval-Aware Question Learning under Partial Evidence
Interactive retrieval under partial evidence is a sequential information-acquisition problem: an agent must decide wh...
arXiv
AutoViewMem: Self-Configuring Orthogonal Views for Conversational Long-Term Memory
Long-term memory is essential for large language model (LLM) agents to maintain consistency and personalization over ...
arXiv
When Should a Failing Robot Ask? Initiating Corrective Human-Robot Dialogue from Audited Sensor Evidence
A robot that fails at a task faces the first decision in corrective dialogue: act on its own diagnosis, consult anoth...
arXiv
Learning Cardiac Features: ECG Biometrics Across Time and~Exercise
Electrocardiograms (ECGs) carry subject-specific patterns enabling reliable individual discrimination, forming the ba...
arXiv
NemotronLabs VoiceChat: An Open Full-duplex Speech-to-Speech Model with Tool Calling Capabilities
We introduce NemotronLabs VoiceChat, an open full-duplex speech-to-speech model with native tool-calling capabilities...
arXiv
A Lie Detector Test for Language Models: Reading Knowledge a Model Won't Reveal
Large language models can hold knowledge they do not report. A model may sandbag on a capability evaluation, or answe...
arXiv
Bayesian Belief Layer for Controllable Opinion Dynamics in LLM Agents
LLM agents in social simulation revise their opinions implicitly, in context: how open an agent is to persuasion can ...
arXiv
DiaVLo: Diagnosing Behaviours of Vision-Language Models
Vision-language models (VLMs) rely on storing and transferring appropriate information across their sub-components. V...
arXiv
Gricea: An Open Science Platform for Conversational AI Research
We need studies on conversational AI (CAI) at scale to understand human behavior and shape CAI design. However, fragm...