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large language models

2,375 papers

#artificial intelligence Open access Sep 2026

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...

Christian Max Wilhelm Weichenrieder · 0 citations
#large language models Open access Sep 2026

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...

Yaoharee Lahtee · 0 citations
#artificial intelligence Open access Sep 2026

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...

Christian Max Wilhelm Weichenrieder · 0 citations
#large language models Book Open access Sep 2026

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...

Mohammad Atari, Firat Seker, Aliah Zewail · 0 citations
#large language models Book Open access Sep 2026

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...

Eliana Hadjiandreou, Tatiana Lau, Desmond C. Ong · 1 citation
#large language models Book Open access Sep 2026

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...

Madhulika Shastry, Sharlene Fernandes, Kurt Gray · 2 citations

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.

Andrew Anderson, David Piorkowski, Justin D. Weisz et al. · 0 citations
#large language models Preprint Sep 2026

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.

Jia-Xiang Geng, Xian-Hao Chen, Bing Luo · 1 citation

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...

Sushil Kumar Garg, Carley F. Hintz, Hannah J. Kolarik et al. · 0 citations
#large language models Open access Sep 2026

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...

S. Zharkynbekova, G. Ayupova, Bakhyt Galiyeva et al. · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.

Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

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