All Articles
16096 articles total
FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking
Introduction of FakeIDet3-DB, a database of digital manipulations on real IDs and the PACE algorithm for privacy-aware patch extraction.
FPSGen: Flexible Point Cloud Scene Generation with BEV-Supported Transport Flows
FPSGen provides a flexible framework for point cloud scene generation using BEV-supported transport flows to improve outdoor scene completion.
The Art of Not Forgetting A Local Learning Architecture for Continual Learning
Introduces CMP (Cognitive Memory Primitive), a continual-learning architecture using sparse relational codes and local updates to mitigate catastrophic forgetting in language modeling.
Shared Symbolic Backbones for Physically Consistent Multi-Output Symbolic Regression
Presents a neuro-evolutionary symbolic regression method that uses shared symbolic backbones to ensure physical consistency across multiple coupled outputs.
AgentGFM: A Graph Foundation Model with Node-Agent Information-Flow Control
Proposes AgentGFM, a Graph Foundation Model where each node acts as an agent to autonomously control information flow for better transferability across diverse graph topologies.
A Persona-based Rate Action Index
Develops a persona-based index using generative AI to predict FOMC interest rate decisions by simulating the behavior of specific Federal Reserve members.
ServerlessT2I: Efficient Text-to-Image Workflow Serving on a Serverless Platform
Introduces ServerlessT2I, a system that decomposes text-to-image workflows into independent model functions to optimize GPU utilization and scaling on serverless platforms.
Recover, Decode, Reguard: Guard-Agnostic Defense Amplification againstEncoded VLM Jailbreaks
Analyzes the effectiveness of 'recover-and-decode' amplifiers to defend Vision-Language Models (VLMs) against encoded jailbreaks, revealing significant safety-utility trade-offs.
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models
Evaluates the performance of VGG16, VGG19, and ResNet50 models for classifying lung diseases from X-ray images, finding ResNet-50 to be the most effective.
One Run Is Not an Idea: The Implementation Lottery in Automated Research
Identifies the 'implementation lottery' in automated research, where conclusions are often based on a single implementation rather than the underlying idea's reliability.
A Physics-Informed Framework for PID Tuning of Chemical Processes Using Large Language Model Agents
Presents a physics-informed framework using LLM agents and PI-GRPO for the automated PID tuning of chemical processes, significantly improving first-attempt success rates.
Decoupled Visual Processing: Efficient Multimodal Adaptation via Modality-Specific Transformer Substitution
Proposes Decoupled Visual Processing (DVP), a parameter-efficient training framework that replaces upper decoder layers with a specialized visual transformer block for MLLMs.
Obfuscation (Part II): Diamond IO
A discussion thread on Hacker News focusing on the concept of 'Diamond IO' in the context of obfuscation.
Reinforcement Learning on Cost-Constrained Quadrupedal Hardware
Researchers use a forward model of actuator delay and a time-aware neural network to close the sim-to-real gap for low-cost quadrupedal robots.
Mergeable Model-Side Aggregation States for Long-Context Language Models
Introduces a model-side aggregation interface using HyperLogLog sketch states to improve non-additive aggregation in long-context LLMs.
ForgetBench: Benchmarking Forgetting Dynamics of Long-Term Parametric Memory in Language Models
ForgetBench is a new benchmark designed to systematically characterize the forgetting dynamics of long-term parametric memory in LLMs.
PUDA: An AI-Native Hardware Harness for Self-Driving Laboratories
PUDA is an AI-native hardware harness providing a command-line runtime for agentic self-driving laboratories, separating orchestration from physical operation.
Audio-Anchored Fusion of Multi-Ratio DiT Reconstruction Residuals for Cross-Domain Audio Deepfake Detection
A new audio deepfake detection method using Diffusion Transformer (DiT) reconstruction residuals and WavLM auditory representations.
LLMET: Enabling Cross-Layer Evaluation of Emerging M3D Memories for Energy-Efficient LLM Serving
LLMET is a cross-layer simulation framework used to demonstrate that scaling on-chip M3D memory can significantly reduce energy consumption in LLM serving.
Collaborative Weighting with Pessimistic Critic for Mitigating Overestimation in Off-Policy Reinforcement Learning
The Collaborative Weighting Actor-Critic (CWAC) framework mitigates overestimation bias in off-policy RL by accounting for predictive uncertainty.