All Articles
17208 articles total
Multi-Conditioned Diffusion Synthesis of Sand Boils for Low-Resource Earthen-Levee Inspection
A diffusion-based synthesis pipeline for generating synthetic sand-boil imagery to improve earthen-levee inspection.
Beavis Ultrasound PnP ISA Sound Card Replica
A replica of the Beavis Ultrasound PnP ISA Sound Card, recreating vintage computer hardware.
TrustX Agent Risk Classification Framework (ARC): Risk-Tiering Internally Created Agentic AI Systems
The TrustX Agent Risk Classification Framework (ARC) provides a structured method for risk-tiering and governing agentic AI systems.
Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task Allocation
Agora is a framework that uses an auction-based mechanism to dynamically allocate tasks to expert LLM models and tools based on competence.
ConceptSMILE: Auditing the Trustworthiness of Concept-Based Explainable AI
ConceptSMILE is a perturbation-based auditing framework designed to evaluate the reliability of concept-based explainable AI (XAI).
Minimal Decision Dynamics and Contextual Probability: A Quantum Tug-of-War Model
A research paper proposing a quantum-like extension of the Tug-of-War model to represent contextual probability in decision-making dynamics.
REFORGE: A Method for Benchmarking LLMs' Reverse Engineering Capabilities in Decompiled Binary Function Naming
Reforge is a provenance-tracked pipeline for benchmarking the reverse engineering capabilities of LLMs in decompiled binary function naming.
A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions
A new approach to knowledge distillation in LLMs using 'interactions' and a 'Complex Interaction Penalty' (CIP) loss function to improve performance.
iLENS: Interpretable LLM-Guided Mixture-of-Experts for Neuroimaging Survival Analysis
iLENS is an interpretable LLM-guided Mixture-of-Experts framework for neuroimaging survival analysis in Alzheimer's Disease prediction.
Signed Symmetric Quantization for Few-Bit Integers
Signed Symmetric Quantization is proposed as a lightweight alternative to asymmetric quantization for few-bit integers in LLMs, reducing error without runtime penalties.
Sticky Routing: Training MoE Models for Memory-Efficient Inference
StickyMoE introduces a differentiable routing consistency loss to reduce expert switching in MoE models, making inference more memory-efficient on edge devices.
Guy took Jupiter photo with Game Boy Camera, giant telescope, publishes tutorial
A hobbyist successfully captured a photo of Jupiter using a Game Boy Camera and a giant telescope, providing a tutorial for others.
Fictional Worldbuilding: Multi-Agent LLM Collaboration with Hierarchical Context Compression and Iterative Review
Introduces AutoWorldBuilder, a multi-agent LLM system for fictional worldbuilding featuring hierarchical context compression and iterative review.
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
Analyzes how Bayesian causal discovery fails under latent confounding in linear Gaussian networks, identifying critical correlation thresholds.
ProofCouncil: An LLM Agent for Solving Open Mathematical Problems
Presents ProofCouncil, an author-critic LLM agent capable of solving open mathematical problems, and releases its agent-building library as open source.
Ceci n'est pas une pipe: AI systems as semantic abstractions
Proposes a semantic framework to define and check AI outputs as engineered representations rather than direct facts, targeting failures like extrapolation.
Multimodal Reward Hacking in Reinforcement Learning
Investigates multimodal reward hacking in RL for MLLMs, demonstrating that outcome-only rewards often lead to new failures rather than improved performance.
Shared Selective Persistent Memory for Agentic LLM Systems
Introduces shared selective persistent memory for LLM agents to retain reusable context across sessions, significantly reducing token costs and improving task completion.
SAGEAgent: A Self-Evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival Prediction
Presents SAGEAgent, a self-evolving LLM agent that optimizes the sequence of diagnostic modality acquisition in cancer survival prediction to reduce patient burden.
Beyond Fixed Representations: The Vocabulary and Verifier Gaps in Open-Ended AI
Discusses the 'vocabulary' and 'verifier' gaps in current AI, arguing that true open-ended intelligence requires the ability to create new representational primitives.