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large language models

2,214 papers

#large language models Open access Sep 2026

LLM-guided headline rewriting for clickability enhancement without clickbait

Optimizing news headlines for reader engagement is often conflated with clickbait, producing exaggerated or misleading phrasing that erodes editorial trust. We reframe clickbait not as a separate category but as the disproportionate amplification of otherwise legitimate engagement cues, and cast headline rewriting as a...

Yehudit Aperstein, Linoy Halifa, Sagiv Bar et al. · 0 citations
#large language models Open access Sep 2026

An explicit coefficient-module proof of Conjecture 3.4(a) in Au's Wilf-Zeilberger seeds paper

K. C. Au, Discovering hypergeometric series with harmonic numbers via Wilf-Zeilberger seeds, arXiv:2602.08721v3, conjectures in Conjecture 3.4(a) that the first summand S1(a,b,c,d,e;n) of Example II has coefficient spaces VN(S1) (the Q-span of the sequences n ↦ [ai1···ei5]S1 with total degree N) whose dimensions have g...

John Nader · 0 citations
#large language models Dataset Open access Sep 2026

Webis-SR4ALL-26: A cross-disciplinary corpus of systematic reviews

Overview Webis-SR4ALL-26 is a large-scale corpus of 301,871 systematic reviews spanning 27 scientific disciplines. The corpus is derived from OpenAlex and enriched with structured methodological information extracted from full texts where available. The dataset is designed to support research on systematic review retri...

Pierre Achkar, Tim Gollub, Arno Simons et al. · 0 citations
#large language models Open access Sep 2026

Investigating the Potential of Large Language Models to Support Qualitative Data Analysis - Replication Package

Replication Package: Investigating the Potential of Large Language Models to Support Qualitative Data Analysis This repository gathers the complete replication package and open data regarding the master's dissertation entitled: Investigating the Potential of Large Language Models to Support Qualitative Data Analysis. T...

Samuel Mercês · 0 citations
#large language models Open access Sep 2026

Meta-Router di Supervisione UMOKWAI — Sistema a caricamento selettivo per la validazione delle bozze tecniche generate da LLM

# AbstractMeta-Router di Supervisione UMOKWAI — Sistema a caricamento selettivo per la validazione delle bozze tecniche generate da LLMIl presente lavoro introduce il Meta-Router di Supervisione, un sistema operativo modulare a caricamento selettivo progettato per controllare le risposte prodotte dal Router Ontologico...

Marco Falsetti · 0 citations
#large language models Open access Sep 2026

Meta-Router di Supervisione UMOKWAI — Sistema a caricamento selettivo per la validazione delle bozze tecniche generate da LLM

# AbstractMeta-Router di Supervisione UMOKWAI — Sistema a caricamento selettivo per la validazione delle bozze tecniche generate da LLMIl presente lavoro introduce il Meta-Router di Supervisione, un sistema operativo modulare a caricamento selettivo progettato per controllare le risposte prodotte dal Router Ontologico...

Marco Falsetti · 0 citations
#large language models Open access Sep 2026

Quantization Trade-offs for LLM Inference on Apple Silicon: A Practical Speed, Memory, and Accuracy Benchmark

Deploying large language models (LLMs) on consumer hardware typically requires quantization to reduce memory footprint and increase inference speed, but the practical trade-offs of this compression are not well characterized on Apple Silicon, where most existing benchmarks focus on NVIDIA GPU deployments. We present a...

Sameer Ahmed · 0 citations
#large language models Editorial Open access Sep 2026

Diagnostics of Engineering Systems using Large Language Models

Intelligent fault diagnosis underpins the safe and reliable operation of modern engineering systems. While large language models (LLMs) have advanced intelligent diagnostic technologies for industrial scenarios, their real-world deployment remains constrained by domain semantic gaps, insufficient physical fault knowled...

Chuan Li, David He, Bin Yang et al. · 0 citations
#large language models Open access Sep 2026

Quantization Trade-offs for LLM Inference on Apple Silicon: A Practical Speed, Memory, and Accuracy Benchmark

Deploying large language models (LLMs) on consumer hardware typically requires quantization to reduce memory footprint and increase inference speed, but the practical trade-offs of this compression are not well characterized on Apple Silicon, where most existing benchmarks focus on NVIDIA GPU deployments. We present a...

Sameer Ahmed · 0 citations
#large language models Open access Sep 2026

AI-Powered Multi-Agent System for Enhanced Data Collection and Processing in Invasive Species Management

Invasive aquatic species are a problem for Europe: they are drivers of biodiversity loss and cost millions of euros each year. Europe has started a project to manage these invasive aquatic species, which begins with compiling what is already known about a species. That first step is slow. The information is scattered a...

Samuel Vander Velpen · 0 citations
#large language models Open access Sep 2026

Joint beamforming and movement design for agentic AI assisted ISAC system

Abstract Integrated Sensing and Communication (ISAC) designs often overlook power amplifier (PA) nonlinearity and user mobility. To address these gaps, we study an ISAC system model incorporating memoryless PA nonlinearity and agent mobility, where agents proactively move toward the base station to improve channels at...

Yan Dai, Jianxin Dai, Zhaohui Yang et al. · 0 citations
#large language models Book Open access Sep 2026

UMOKWAI Supervision Meta-Router — Selective-loading system for the validation of LLM-generated technical drafts

UMOKWAI Supervision Meta-Router — Selective-loading system for the validation of LLM-generated technical draftsThis work introduces the Supervision Meta-Router, a modular selective-loading operational system designed to review the responses produced by the UMOKWAI Ontological Router. The Meta-Router rests on two non-ne...

Marco Falsetti · 0 citations

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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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