All Articles
18306 articles total
Learning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language Agents
The OSL-MR framework treats memory retention in long-horizon language agents as a constrained stochastic optimization problem to improve resource allocation and observability.
MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning
MoCA-Agent is a code agent for financial reasoning that decomposes questions into atomic claims and uses a market-like verification process to synthesize executable Python programs.
Wisdom of Committee: Diverse Distillation from Large Foundation Models and Domain Experts
DiverseDistill is an interactive distillation framework that uses a committee of foundation models and domain experts to improve the performance of compact domain-specific models.
Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies
The Global Ease of Living Index uses a machine learning framework and PCA/Factor Analysis to quantify quality of life across major economies since 1970.
Simulation of Language Evolution under Regulated Social Media Platforms: A Synergistic Approach of Large Language Models and Genetic Algorithms
A multi-agent framework using LLMs and Genetic Algorithms is used to simulate how language evolves to evade moderation policies on social media platforms.
Americans express unease over SpaceX's influence on retirement savings
Americans express concern over SpaceX's growing influence on personal retirement savings.
How do flocking birds and schools of fish move?
An exploration into the biological mechanisms of how birds and fish coordinate movements in flocks and schools.
A Perceptron in Age of Empires II
A technical demonstration of implementing a Perceptron neural network within the Age of Empires II game engine.
AURpocalypse now: a look at the recent AUR attacks
An analysis of recent security attacks targeting the Arch User Repository (AUR).
Mitigating Legibility Tax with Decoupled Prover-Verifier Games
Introduces Decoupled Prover-Verifier Games to reduce the 'legibility tax' when making LLM outputs checkable by smaller models.
PrototypeNAS: Rapid Design of Deep Neural Networks for Microcontroller Units
Presents PrototypeNAS, a zero-shot neural architecture search method for rapidly designing DNNs for microcontrollers.
The Scaffold Effect: How Prompt Framing Drives Apparent Multimodal Gains in Clinical VLM Evaluation
Identifies the 'scaffold effect' where clinical VLMs show fake performance gains based on prompt framing rather than actual data integration.
CareTransition-Audit: A Benchmark to Audit Discharge Summaries for Efficient Care Transitions
Proposes CareTransition-Audit, an LLM-based framework for auditing hospital discharge summaries to improve patient safety.
Too long; didn't solve
Research indicating that both prompt and solution length correlate with increased failure rates in LLM mathematical reasoning.
CogniFold: Always-On Proactive Memory via Cognitive Folding
Introduces CogniFold, a brain-inspired proactive agent memory system using graph-topology self-organization.
Think of the Children: How to Force Real ID for All Internet Traffic (2023)
A discussion on the technical and social implications of forcing Real ID requirements for all internet traffic.
Surprising Economics of Load-Balanced Systems
An exploration of the unexpected economic and performance characteristics of load-balanced systems.
RhinoCollab a plugin for real-time editing for Rhino 3D
RhinoCollab introduces real-time collaborative editing capabilities to Rhino 3D via a plugin.
Hide Secrets from AI Agents and NPM install using Airgap
Airgap is presented as a tool to prevent secrets from being leaked to AI agents and during NPM installations.
Encryption, spyware, and now Mythos: History shows why cyber export control doesn’t work
An analysis of why cybersecurity export controls, including those for AI models like Anthropic's Mythos, are historically ineffective.