large language models

The Epistemic Chain Reaction: Human-AI Multiplication from Questions to Readout-Distinguishable Hypotheses — A Controlled Amplification Architecture for Scientific Discovery — with the State of Evidence registry for Papers I–IV (v2)

Series. Paper IV of the Bounded Knower sequence. Paper I: From Problem to Hypothesis (DOI 10.5281/zenodo.22307148). Paper II: Knowledge Topology and the First Passage to Usable Hypotheses (DOI 10.5281/zenodo.22307561). Paper III: Before Evidence Can Decide (DOI 10.5281/zenodo.22307564). Status. GLOSA K0 conceptual and...

Forschungs-Exposé Methodischer Leitfaden zur algorithmischen Implementierung der Theory of Equivalent Coexistence (TEC)

Research Exposé: Methodological Guide for the Algorithmic Implementation of the Theory of Equivalent Coexistence (TEC) --- ## 1. Introduction: The Paradigm Shift of "Mizan" The current debate surrounding Artificial Intelligence and global systemic crises is dominated by anthropocentric models of hierarchy: technology i...

Is Empathic AI Possible?

Efforts to develop “empathic AI” often assume a universal definition for empathy—a singular, objective understanding of “human” experiences. This implies that achieving empathic AI is only a matter of optimization difficulty, where researchers should find the “correct” way to align AI systems with human-like empathy—es...

What LLMpathy Can Tell Us about Received Empathy

Psychological theories of empathy have traditionally focused on the empathizer's ability to perspective take and share another's emotions. But people today live in a day and age where AI models, like Large Language Models (LLMs) devoid of emotions and other empathic capabilities, can still produce text that makes peopl...

Empathic AI Will Undermine Human Kindness

Human kindness, especially in relationships, revolves around exchanging empathy. Empathic AI—large language models (LLMs) that provide empathic support—will undermine human kindness by stopping people from 1) seeking empathy and 2) giving empathy. Asking humans for empathy is often an imposition and can be expensive (e...

Large language model-enhanced multimodal fusion for building energy consumption forecasting

Can LLM Code Explanations Adapt to Diverse Problem-Solvers' Needs?

This paper is the first to investigate problem-solving style adaptations in LLM code explanation, contributing two problem-solving adaptation approaches: declarative statements for each adaptation and 10 problem-solving style prompts.

Just Talk Once: Communication-Efficient Split Federated LLM Fine-Tuning on Edge Devices

L-shaped SFT is presented, a split fine-tuning framework that removes the need for continuous client participation and introduces one-shot SFT, in which clients upload activations once and then go offline while the server continues optimization over cached representations.

Longitudinal Data from a Large, Multi-Target Stool DNA Colorectal Cancer Screening Program

Background & Aims: Multi-target stool DNA (mt-sDNA) is an established stool-based colorectal cancer screening test, yet long-term performance is not well-described. We evaluated follow-up colonoscopy rates & quality, neoplasia yield, and repeat-testing adherence over 10 years with an integrated screening program. Metho...

Digital linguistic sovereignty and Kazakh language policy in the digital environment

This article examines the impact of the digital environment on the status and place of language. The focus is on the concept of digital linguistic sovereignty, understood as a nation’s ability to ensure the functional competitiveness of the language in the age of artificial intelligence and big data. In this regard, Ka...

Towards Self-Developing ERP: Operating Enterprise Resource Planning with Large Language Models - Source Code Release

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Closed-Domain Event Extraction Literature Review

Executive Summary This work is a literature review on the task of closed-domain event extraction, a task within natural language processing (NLP) where the goal is to detect the presence of an event (an occurrence of an action or state change) and event-related information (known as arguments) and to return the event s...