Alignment, bias, regulation, and responsible AI
We're releasing a paper on a new framework for reading and interpreting the internal cognitive states of large language models: "The Lyra...
I have built a programmable governance layer for AI agents. I am considering to open source completely. Looking for feedback. Agent demos...
![[2510.14628] RLAIF-SPA: Structured AI Feedback for Semantic-Prosodic Alignment in Speech Synthesis](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2510.14628: RLAIF-SPA: Structured AI Feedback for Semantic-Prosodic Alignment in Speech Synthesis
The paper 'Artificial Organisations' explores how multi-agent AI systems can achieve reliable outcomes through architectural design, draw...
The paper introduces ProMoral-Bench, a benchmark for evaluating prompting strategies in large language models (LLMs) focused on moral rea...
This paper presents a novel intrusion detection framework that integrates Explainable AI (XAI) to enhance the interpretability and perfor...
The paper presents SELFCEST, a novel approach that enhances language models by enabling them to create clones for improved reasoning effi...
The paper introduces X-Blocks, a framework for analyzing natural language explanations in automated vehicles, enhancing user trust and un...
The paper introduces DPBench, a benchmark assessing how well large language models (LLMs) coordinate in multi-agent systems, revealing si...
The paper introduces AST-PAC, a novel method for membership inference attacks on code models, leveraging Abstract Syntax Trees to enhance...
NL2LOGIC presents a novel framework for translating natural language into first-order logic using large language models, enhancing accura...
The paper presents a novel framework, Dual-Cycle Adversarial Self-Evolution, aimed at enhancing the safety and fidelity of role-playing a...
The paper presents a novel framework for understanding intelligence through the lens of trajectory-dominant Pareto optimization, addressi...
This article presents a geometric taxonomy of hallucinations in large language models (LLMs), categorizing them into three types: unfaith...
VeRA introduces a framework for generating verified reasoning data at scale, enhancing AI evaluation by creating dynamic, executable benc...
This paper presents an agentic AI system for commercial insurance underwriting that incorporates adversarial self-critique to enhance dec...
Christina Orfanidou, head of AI at Columbia Group, warns that using biased historical data to train AI could perpetuate gender exclusion ...
Residents of Potters Bar protest against a planned data center on green belt land, highlighting tensions between AI infrastructure demand...
The discussion explores the necessity of generative AI, questioning its benefits beyond business applications and highlighting its potent...
Anthropic's Claude Code update conceals file access details, prompting backlash from developers who rely on this information for effectiv...
ByteDance's AI video generator Seedance 2.0 faces backlash from Disney and Hollywood for potential copyright infringement, prompting the ...
The article explores the implications of AI in the entertainment industry, focusing on intellectual property rights and the challenges of...
Reddit emphasizes the value of human-generated content as users seek authentic interactions amid a surge of AI-generated material, highli...
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