All Articles
17524 articles total
When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems
AcMAS is an activation-based framework designed to detect stealthy malicious behaviors in multi-agent LLM systems without relying on interaction graphs.
CollectWise (YC F24) Is Hiring
CollectWise (YC F24) is currently hiring.
The Rank-One Corner: How Much Value Equivalence Does a Task Need from a World Model?
Researchers explore how the dimensionality of training objectives determines what a world model represents, finding that single-reward objectives limit latent representation to a one-dimensional projection.
Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering
This paper evaluates Retrieval-Augmented Generation (RAG) for public health QA, demonstrating that hybrid retrieval significantly improves recall and allows smaller open-weight models to compete with larger ones.
Diffusion enabled Optimal Transport distances for graph matching
Introduces DsrFGW, a novel graph matching method using diffusion processes and optimal transport to improve robustness against noise and missing edges in graph comparison.
Digital Fragmentation and Generative AI Use Across 103 Million Application Events
A study of 103 million application events shows that generative AI use is associated with more fragmented workdays, but subsequent periods are more structured and predictable.
tsbootstrap: Distribution-Free Uncertainty Quantification and Conformal Prediction for Time Series
tsbootstrap is a new MIT-licensed library providing distribution-free uncertainty quantification and conformal prediction for non-IID time series data.
SPEAR: A Simulator for Photorealistic Embodied AI Research
SPEAR is a Python library that allows programmatic control of Unreal Engine applications for photorealistic embodied AI research, offering high-speed rendering and extensive UE function access.
Vision Language Action (VLA) Models for Unmanned Aerial Robotics and Bimanual Manipulation: A Review
A comprehensive review of Vision Language Action (VLA) models, analyzing their application in bimanual manipulation and unmanned aerial robotics.
Reliable and Developer-Aligned Evaluation of Agents for Software Engineering
Researchers propose a new methodology for evaluating LLM-powered software engineering agents, focusing on real-world practice, contamination-awareness, and trajectory-aware metrics.
A Continual Learning Framework for Adaptive Control of Modular Soft Robots
A continual learning framework is presented for adaptive control of modular soft robots, allowing controllers to adapt to changes in morphology without forgetting previous knowledge.
AI changes the economics of software rewrites
A community discussion on Hacker News exploring how AI influences the cost and feasibility of rewriting legacy software systems.
3D Airplane tracker on Mercator map
A showcase of a 3D airplane tracker implemented on a Mercator map projection.
SpaR3D-MoE: Adaptive 3D Spatial Reasoning from Sparse Views Meets Geometry-Inductive Mixture-of-Experts
Introduction of SpaR3D-MoE, a framework that enhances 3D spatial reasoning in MLLMs using sparse RGB inputs and a geometry-inductive Mixture-of-Experts.
LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting
TSF is a lightweight LLM-guided framework designed to improve industrial process forecasting by integrating semantic information from process documents into time-series models.
Open-Ended Scenario Reasoning for Specialist Model Adaptation
ROAM is a framework that uses LLM reasoning to adapt frozen specialist models to new industrial scenarios without requiring retraining.
Cross-Trajectory Chimera Interventions Reveal Dissociable Roles of Weight Magnitude and Direction in Grokking
Research using cross-trajectory chimera interventions to reveal that weight direction, rather than magnitude, is the primary carrier of circuit identity during the grokking process.
Dynamic-in-Few-Step: Unifying Dynamic Computation and Few-Step Distillation for Efficient Video Generation
A post-training acceleration framework for video diffusion models that combines dynamic structural sparsification with few-step distillation to create a Mixture-of-Models.
ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities
ProMoE-FL introduces a Prototype-conditioned Mixture-of-Experts framework to handle missing modalities in multimodal federated learning, particularly for medical imaging.
Specification Grounding Drives Test Effectiveness for LLM Code
Research demonstrating that grounding LLM-generated tests in explicit specifications significantly improves the effectiveness of automated code repair and bug detection.