large language models

SecLM SOC copilot: a retrieval-augmented large language model copilot for APT alert analysis in security operations centers

Security operations center (SOC) analysts must interpret large volumes of alerts under severe time pressure, and this burden grows more demanding when advanced persistent threat (APT) activity is distributed across endpoint telemetry, network indicators, host context, and threat intelligence. This paper presents SecLM,...

Large Language Model Chatbot Responses to Cancer Survivorship Questions in Hong Kong: Bilingual Evaluation and Prompt Optimization Study

BACKGROUND As the population of survivors of cancer grows and new information technologies become widespread in Hong Kong, survivors of cancer increasingly seek ongoing care and support information from large language models (LLMs). While these tools provide immediate conversational responses, they carry substantial ri...

In Silico Advertising Tests

This research examines whether large language model agents can produce analytically useful evidence for advertising testing when treated as synthetic respondents rather than as substitutes for human consumers. We report an in-silico comparative post-test of two television advertisements in the French telecommunications...

Responsible management education calls for a fundamental curriculum transformation

Purpose Business education is stuck in outmoded ideas of business, the market and the world. We have known this for decades, but little has changed. As problems like climate change and inequality worsen, the challenge of creating responsible management education is not to find ways to integrate new electives into that...

Agreement-gated fusion of a vision foundation model and a multimodal LLM for wheat disease diagnosis: code, frozen prompt and cached outputs

Code, frozen prompt, study protocol and cached model outputs needed to recompute all results of the manuscript 'Agreement-gated fusion of a vision foundation model and a multimodal large language model for reliable wheat disease diagnosis across image sources' (submitted to Precision Agriculture). Images are not redist...

A Review of the Integrated Application of Artificial Intelligence and Building Information Modeling

Under the background of digital transformation in the construction industry, Building Information Modeling (BIM) and artificial intelligence (AI) have become an important technical path to promote the intelligent upgrading of the construction industry. AI-BIM integration improves design efficiency, project control qual...

Prompt Engineering and Architectural Ablations for Domain-Adaptive Resume Generation

The Ability of Generative Artificial Intelligence to Evaluate the Quality of Scholarly Output

Large language models (LLMs) are increasingly being considered as tools to support the peer-review process. However, we currently have a limited understanding of their capabilities and biases in this area. In a set of three studies, we examined how out-of-the box LLMs evaluate scientific quality when presented with con...

tokenwatt: ground-truth energy measurement for LLM inference across heterogeneous CPU power islands

A RAPL-based measurement harness for large language model inference on heterogeneous CPUs. Separates prefill from decode, records KV cache growth at every decode step, subtracts a verified idle baseline, and degrades to timing-only measurement rather than estimating energy when the counters are unreadable. Includes the...

Multilingual Psychological_Disorders_Detection

Multilingual detection of Pshycological Disordes using PHQ-9 feature extraction via NLP & Large Language Model

LangExtract v1.7.1

LangExtract is a Python library that uses Large Language Models (LLMs) to extract structured information from unstructured text documents based on user-defined instructions. It processes materials such as clinical notes or reports, identifying and organizing key details while ensuring the extracted data corresponds to...

Third Intelligence

Friends and colleagues, The Third Intelligence is a first attempt to strike a match in a dark room. Someone has probably been here before. Or perhaps not? Strike a match and look around. The book’s central question is simple: what happens when a human being and AI arrive together at a thought that neither had before th...