All Articles
16116 articles total
Pramana: A Composable, Domain-Specific Backend for Empirical Networking Research
Pramana is introduced as a composable backend designed to accelerate empirical networking research by bridging the gap between hypothesis and data generation.
High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption
The k-order Markov blanket (kOMB) algorithm is proposed to discover graphical Markov blankets while relaxing the faithfulness assumption to handle parity-type relations.
"the very foundation of modern academia has been blown to bits"
A Hacker News discussion regarding the perceived collapse of the foundations of modern academia due to external pressures or AI.
Try Again, Don't Look Back: Blind Resampling Outperforms Self-Repair in Small Code Models
Research showing that 'blind resampling' (retrying without looking at previous failures) is more efficient and often more effective than self-repair in small code LLMs.
Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels
A proposed systems framework and graded trustworthiness levels for embodied AI to ensure safe and reliable physical interaction.
A Picture Says Thousands of Words - Harnessing Dermal Exposure Data from Images through Hybrid Deep Learning for Enhanced Safety Assessment
A hybrid deep learning approach using Mask R-CNN and color-based segmentation to quantify skin exposure for safety assessments.
Cognitive Convergence: Deep Similarities Between Large Language Models and Human Cognition
An analysis of the structural and cognitive convergence between Large Language Models and human cognitive organization.
(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations
Introduction of (EC)2, a multi-agent LLM framework for providing event-centric, verifiable explanations for cybersecurity alerts.
Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges
A systematic survey and taxonomy of Multi-Agent Debate (MAD) strategies to improve LLM robustness and accuracy.
Model-Driven Requirements Configuration with Three-Valued Uncertainty Scoring
A neuro-symbolic multi-agent architecture that combines LLMs with a deterministic symbolic validator to ensure structural integrity in requirements engineering.
Contextualized Counterspeech Can Be More Persuasive Than Generic Counterspeech
Study on generating personalized, contextualized counterspeech to mitigate online toxicity more effectively than generic responses.
Top-$k$ Pareto Bandits: Hypervolume Regret for Multi-Objective Slate Selection
Introduction of THV-UCB, an optimistic algorithm for multi-objective slate selection to approximate Pareto frontiers in bandit problems.
Show HN: Cubic Doggo 06R: 12-DOF 4-Legged Robot with IMU
A demonstration of Cubic Doggo 06R, a 12-degree-of-freedom 4-legged robot equipped with an IMU.
Optimizing Sensor Placement for Hydrogen Leak Detection in Enclosed Infrastructure: A Comparative Study Using CFD-informed Genetic Algorithm and DeepSets Neural Surrogate
A study proposing a computational framework using CFD, genetic algorithms, and DeepSets neural surrogates to optimize sensor placement for hydrogen leak detection.
A Reference-Free Score for Detecting Silent Reasoning Failures in Large Language Models
Introduction of the Reasoning Answer Faithfulness Score (RAFS), a reference-free metric to detect silent reasoning failures in LLM mathematical chain-of-thought evaluations.
Weight and Height Estimation from a Single Human Image Captured in the Wild
Research on estimating human weight and height from single images using deep neural networks and a newly proposed image dataset.
TraceCLIP: Recovering Local Semantics from Patch-to-CLS Contributions
TraceCLIP is a training-free framework that recovers local semantic evidence from CLIP's global representations to improve zero-shot semantic segmentation.
GPT-Red: Automated Red Teaming via Self-Play at Scale
GPT-Red is an automated red-teaming agent trained via self-play to discover novel prompt injection attacks and improve LLM robustness.
Show HN: Gander, an Android file viewer that asks for no permissions at all
Gander is an Android file viewer application designed to operate without requiring any system permissions.
Do Methods Support the Claims? Intra-Paper Verification for Peer Review
Researchers introduce a framework for intra-paper claim verification to help LLMs identify when a scientific paper's claims are not supported by its own methods.