All Articles
17720 articles total
The US ambassador had Belgian police stop our reporting
A report regarding US ambassadors and Belgian police interfering with journalistic reporting.
All Logic, No Bite
A Hacker News discussion thread titled 'All Logic, No Bite'.
Meet the lawyer who beat Elon Musk — twice
A profile of the lawyer Bill Savitt who has successfully litigated against Elon Musk in multiple cases.
A Systems-Level Analysis of Sensitivity, Robustness, and Stability in Retrieval-Augmented Generation
An empirical study analyzing the sensitivity, robustness, and stability of RAG systems, emphasizing the need for multi-stage failure analysis over simple accuracy metrics.
Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks
Proposal of a RIS-enabled Open-RAN framework for 6G networks using multi-agent deep reinforcement learning for energy and QoS optimization.
Operating Regimes of Decentralized Learning Under Mobility and Bandwidth Constraints
A study on decentralized learning over wireless systems, identifying operating regimes based on mobility, bandwidth, and contact patterns.
The Crowded Embedding Space: A Mean-Field Mechanism for Emergent Marginalization in Retrieval-Augmented Agents
Theoretical analysis of how high document density in embedding spaces can marginalize minority interests in retrieval-augmented agents.
PIXELRAG: Web Screenshots Beat Text for Retrieval-Augmented Generation
Introduction of PixelRAG, a method that performs RAG using website screenshots instead of parsed text, improving accuracy and efficiency.
Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients
A gradient-based audit framework to evaluate LLM-governed social robots' moral trade-off behavior across different cultural preferences.
Agentic Safety is an Epistemic Property, Not a Behavioral One
A theoretical argument that AI safety should be viewed as an epistemic property of the learner's teachability rather than just behavioral snapshots.
Should every baby's DNA be sequenced?
A Hacker News discussion thread exploring the ethical and societal implications of universal infant DNA sequencing.
Parse, Don't Validate – In a Language That Doesn't Want You To
A technical article discussing the 'Parse, Don't Validate' paradigm in software design and its application in various programming environments.
$M^3 QuestionIng$: Multi-modal Multi-span Medical Question Answering
The paper introduces $M^3QAFrame$, a multi-modal, multi-span medical question-answering framework designed to use both text and images to improve medical query accuracy.
High-Dimensional Concentration and Retrieval Instability in Embedding Spaces: Implications for Retrieval-Augmented Generation
An investigation into how high-dimensional geometry causes retrieval instability and loss of contrast in embedding spaces, impacting RAG systems.
"AI Watermarking": Bridging Policy Discourse and Technical Capabilities
A critical analysis of the gap between US and EU policy discussions regarding AI watermarking and the actual technical capabilities for tracking content.
When Medical Safety Alignment Fails: A Benchmark for Evaluating LLMs on High-Risk Medical Queries
The paper introduces MedHarm, a benchmark for evaluating the medical safety and refusal capabilities of LLMs when facing high-risk queries.
Insidious by Design: Implications of Large Language Model algorithmic bias for the Global South
An exploratory study highlighting how LLM outputs can subtly reproduce Western-centric biases and racial hierarchies, particularly affecting the Global South.
Ground Truths in Suicide Research: The Current State of AI-Based Suicide Detection in Social Media
A research synthesis exploring the limitations and lack of ground truth in AI-based suicide detection from social media data.
LLM-Ideoplasticity: Measuring Ideological Plasticity in the Political Behavior of LLMs as a Context-Conditioned Distribution
The study proposes that LLM political ideology should be viewed as a conditional distribution rather than a fixed point, exhibiting high context sensitivity.
HyBIRD: Hyperbolic Bridge Retrieval and Diagnosis for Methodology Inspiration Retrieval
The paper proposes HyBIRD, a framework for methodology inspiration retrieval using hyperbolic bridge retrieval to improve research paper discovery.