All Articles
16096 articles total
Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification
Research on using robust data augmentations to improve the out-of-domain generalization of dermoscopic skin cancer classifiers.
MediaWiki Code2Code Search: Neural Retrieval for the Semantic Discovery of Open-Source Software Entities
MediaWiki Code2Code Search is a neural retrieval system for semantic code discovery across MediaWiki repositories using FAISS IVF-PQ indexing.
Physically Real-time Infrared Attack against Optical Flow Estimation Networks
Researchers developed a real-time physical attack on Optical Flow Estimation Networks using infrared lights to compromise autonomous driving and motion detection systems.
Constitutional Midtraining: Content Presence Drives Alignment Gains
A study introduces constitutional midtraining, integrating principled values-based content into the training process of 120B scale models to improve alignment durability.
Graph Is the Verifier: Agentic Reinforcement Learning for Interprocedural Vulnerability Detection
VulAgentRL is a new agentic reinforcement learning framework that uses Code Property Graphs to detect interprocedural vulnerabilities in software.
Scientific Knowledge Discovery in the Age of Large Language Models
A survey paper examines the application of generative LLMs for scientific knowledge discovery, specifically literature retrieval and screening.
Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL
ERAHBO is proposed as a risk-aware Bayesian Optimization method to efficiently tune hyperparameters in stochastic reinforcement learning environments.
MPEcho: A Melody and Phoneme-Aware Generative Framework for Controllable Cover Song Generation
MPEcho is a generative framework for controllable cover song generation that uses a new transcription model, Phonsa, to improve lyric accuracy.
Automated Multilabel Mpox Research Classification with Explainable Transformer Models
A research project uses BERT and SHAP to automate the multilabel classification of Mpox research articles for better public health organization.
FARI: Robust One-Step Inversion for Watermarking in Diffusion Models
FARI introduces a one-step inversion framework for faster and more robust watermarking in diffusion models via adversarial LoRA fine-tuning.
Dual Inversion for Text-to-Image Diffusion Models: From Both Prompt and Noise Perspectives
Dualin is a two-stage method for text-to-image diffusion models that recovers both semantic prompts and latent noise to improve image fidelity and editing.
Zero-Shot Face-to-Speech Synthesis via Latent Space Adaptation of a Style-Diffusion TTS Model
A new Face-to-Speech framework predicts a plausible voice from a static image by adapting a Style-Diffusion TTS model's latent space.
IMAX vs. IMAX 70mm: The difference between these two cinema formats
A discussion on the technical and visual differences between IMAX and IMAX 70mm cinema formats.
Sony pushes forward with ditching discs, despite backlash
Sony is proceeding with the removal of physical game discs for PlayStation, citing the digitalization of content despite consumer backlash.
Living-Harness Is an Interactive-Agent Evolver
Introduction of Living-Harness, a self-evolving agent harness that improves LLM agent reliability by converting trajectories into procedural knowledge.
WhisperRec: Latent Reasoning for Efficient Foundation Recommendation Models
WhisperRec proposes a latent reasoning framework for foundation recommendation models that compresses Chain-of-Thought into latent tokens to reduce inference latency.
Understanding Context Sampling in TabPFN on Small Tabular Datasets
A study on TabPFN, analyzing how context sampling and size impact prediction stability and accuracy on small tabular datasets.
Guarding Organizations Against Malware Risk: A Novel Graph-Based Malware Detection Method
MalGuard is presented as a graph-based malware detection method that identifies operational roles to capture program behaviors and reduce risk.
Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability
A systematic exploration of using filesystems as long-term memory for LLM agents, finding that while organization reduces retrieval costs, it doesn't necessarily improve answers.
Borrowed Strength: Best-of-N Search over a Code EncodingBreaks Self-Check Jailbreak Defenses
Research demonstrating how composing a code-completion encoding and best-of-N search can breach strong self-check jailbreak defenses like SAGE.