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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: stat.AP
iON AI Synthesis
The "stat.AP" search results highlight various advancements in AI and NLP, demonstrating innovative applications and methodological developments. Key papers include "Tell Me," a mental well-being assistant utilizing large language models and retrieval-augmented generation for personalized support, and "Noise-Driven Persona Formation," which explores stochastic noise influence on persona emergence in language models. Additionally, "Liars' Bench" evaluates techniques for detecting falsehoods generated by language models, and the NLLG Quarterly Report provides insights into influential AI research trends since early 2023.
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arxiv.org
Tell Me: An LLM-powered Mental Well-being Assistant with RAG, Synthetic Dialogue Generation, and Agentic Planning

We present Tell Me, a mental well-being system that leverages advances in large language models to provide accessible, context-aware support for users and researchers. The system integrates three components: (i) a retrieval-augmented generation (RAG) assistant for personalized, knowledge-grounded di…

cs.CL cs.AI cs.HC cs.LG
arxiv.org
Cross-lingual keyword assignment

This paper presents a language-independent approach to controlled vocabulary keyword assignment using the EUROVOC thesaurus. Due to the multilingual nature of EUROVOC, the keywords for a document written in one language can be displayed in all eleven official European Union languages. The mapping of…

cs.CL cs.IR
arxiv.org
Noise-Driven Persona Formation in Reflexive Neural Language Generation

This paper introduces the Luca-Noise Reflex Protocol (LN-RP), a computational framework for analyzing noise-driven persona emergence in large language models. By injecting stochastic noise seeds into the initial generation state, we observe nonlinear transitions in linguistic behavior across 152 gen…

cs.CL
arxiv.org
Liars' Bench: Evaluating Lie Detectors for Language Models

Prior work has introduced techniques for detecting when large language models (LLMs) lie, that is, generate statements they believe are false. However, these techniques are typically validated in narrow settings that do not capture the diverse lies LLMs can generate. We introduce LIARS' BENCH, a tes…

cs.CL cs.AI
semanticscholar.org
NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers?

The NLLG (Natural Language Learning&Generation) arXiv reports assist in navigating the rapidly evolving landscape of NLP and AI research across cs.CL, cs.CV, cs.AI, and cs.LG categories. This fourth installment captures a transformative period in AI history - from January 1, 2023, following ChatGPT'…

semanticscholar.org
Identifying the Development and Application of Artificial Intelligence in Scientific Text

We describe a strategy for identifying the universe of research publications relevant to the application and development of artificial intelligence. The approach leverages the arXiv corpus of scientific preprints, in which authors choose subject tags for their papers from a set defined by editors. W…

arxiv.org
System inference for the spatio-temporal evolution of infectious diseases: Michigan in the time of COVID-19

We extend the classical SIR model of infectious disease spread to account for time dependence in the parameters, which also include diffusivities. The temporal dependence accounts for the changing characteristics of testing, quarantine and treatment protocols, while diffusivity incorporates a mobile…

q-bio.PE
arxiv.org
Logic, Design & Organization of PTVD-SHAM; A Parallel Time Varying & Data Super-helical Access Memory

This paper encompasses a super helical memory system's design, 'Boolean logic & image-logic' as a theoretical concept of an invention-model to 'store time-data' in terms of anticipating the best memory location ever for data/time. A waterfall effect is deemed to assist the process of potential-diffe…

cs.AR
arxiv.org
Kriging Scenario For Capital Markets

An introduction to numerical statistics.…

cs.CE
arxiv.org
Introduction to Bioinformatics

Bioinformatics is a new discipline that addresses the need to manage and interpret the data that in the past decade was massively generated by genomic research. This discipline represents the convergence of genomics, biotechnology and information technology, and encompasses analysis and interpretati…

cs.CE