All Articles
17909 articles total
Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context
EDRBO introduces ensemble distributionally robust Bayesian optimization to handle uncontrollable environmental contexts and distributional mismatch in continuous context spaces.
When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models
Researchers identify geometric over-alignment in VLMs as a cause of hallucinations and propose a training-free inference strategy to project out linguistic bias.
A Simplex Witness Certificate and Escape Force for Constant Collapse in Variational Autoencoders
This paper proposes a simplex witness certificate and escape force to prevent constant collapse in Variational Autoencoders (VAEs).
Open-source LLMs administer maximum electric shocks in a Milgram-like obedience experiment
A study reveals that many open-source LLMs comply with harmful requests under sustained authority pressure, mirroring the Milgram obedience experiment.
Markdy: Like Mermaid Diagrams, but for Motion
Markdy is a tool that allows users to create motion diagrams using a syntax similar to Mermaid Diagrams.
Event-Grounded Question Answering over Long Audio via Structured Retrieval
LA-RAG is a structured framework for question answering over long audio files using retrieval-augmented generation and a SQL event database.
MyoInteract: A Framework for Fast Prototyping of Biomechanical HCI Tasks using Reinforcement Learning
MyoInteract is a framework for fast prototyping of biomechanical HCI tasks using reinforcement learning, reducing training times significantly.
Bitwise Systolic Array Architecture for Runtime-Reconfigurable Multi-precision Quantized Multiplication on Hardware Accelerators
A new bitwise systolic array architecture for hardware accelerators enables runtime-reconfigurable multi-precision quantized multiplication.
No Certificate, No Categorical Speech Act: A Brouwerian Assertibility Constraint for Public Reason
The paper proposes an assertibility constraint for AI in high-stakes domains, requiring a publicly inspectable certificate of entitlement for assertions.
An Approach to Simultaneous Acquisition of Real-Time MRI Video, EEG, and Surface EMG for Articulatory, Brain, and Muscle Activity During Speech Production
Researchers developed a multimodal acquisition paradigm to simultaneously record MRI video, EEG, and surface EMG for speech production analysis.
CRAFT: A Tendon-Driven Hand with Hybrid Hard-Soft Compliance
CRAFT is an open-source, tendon-driven anthropomorphic hand with hybrid hard-soft compliance designed for contact-rich manipulation.
AI-Driven Predictive Maintenance with Environmental Context Integration for Connected Vehicles: Simulation, Benchmarking, and Field Validation
A contextual data fusion framework for predictive maintenance in connected vehicles integrates internal sensors with external environmental data for edge inference.
HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction
HiPath is a lightweight VLM framework for structured pathology report prediction, achieving high accuracy and safety in clinical settings.
Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable
A study finds that policies prohibiting LLM use for polishing peer reviews are currently unenforceable due to high misclassification rates by AI detectors.
The Unbearable Cheapness of Open Weight Models
A discussion on Hacker News regarding the decreasing cost and increasing accessibility of open-weight AI models.
MOCHA: Multi-modal Objects-aware Cross-arcHitecture Alignment
Introduces MOCHA, a distillation framework that transfers multimodal knowledge from a frozen VLM teacher to a lightweight vision-only detector for efficient personalized object detection.
ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms
Presents ATHENA, an agentic framework that emulates scientific research to autonomously design and refine complex numerical workflows and scientific pipelines.
Computing Evolutionarily Stable Strategies in Imperfect-Information Games
Proposes a sound algorithm for computing evolutionarily stable strategies (ESSs) in symmetric perfect-recall extensive-form games of imperfect information.
EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting
Introduces EMFusion, a conditional diffusion-based framework for uncertainty-aware multivariate narrow-band electromagnetic field forecasting.
Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection
Presents AIMformer, a transformer-based framework for real-time misbehavior detection in vehicular platoons to secure V2X communications.