large language models

Large language models for aspect-based sentiment analysis in e-commerce: A review

The potential of large language models for sustainable building performance: A review of applications, evaluation practices, and reliability

A hierarchical evaluation framework for security and trustworthiness in Large Vision-Language Models

DADSA: Dual-Side Adaptive Deep Safety Alignment for Large Language Models

Noise-Invariant Agentic Human-Robot Interaction GenAI System Using a Dual-Encoder Contrastive ASR Architecture and VLMs for Robot Control and Navigation in Acoustically Challenging Jobsites

This paper proposes an HRI agentic artificial intelligence system—integrating a construction domain-specific, noise-robust automatic speech recognition (ASR) agent and a vision-language model (VLM)-based robotic control agent—to reliably transcribe speech in noisy environments and parse instructions for robot navigatio...

A SEMANTIC SELF-HEALING FRAMEWORK FOR DATA PIPELINES USING LIGHTWEIGHT LARGE LANGUAGE MODELS

A SEMANTIC SELF-HEALING FRAMEWORK FOR DATA PIPELINES USING LIGHTWEIGHT LARGE LANGUAGE MODELS

Diversity-Aware Social Robots for Education and Social Assistance

This thesis asks what it means for a social robot to be competent with respect to the diversity of its users, and argues that metaphor is one of the key cognitive mechanisms underlying this competence. The starting point is the concept of interdiversity: diversity is treated not as a set of isolated variables, but as a...

Selberg–Residue Analysis of the Equally Spaced Richardson–Gaudin Pairing Model

Authorship and verification statement. The scientific problem, the original methodological direction, and the research objectives were formulated by W. V. Pogosov. The analytical derivations and numerical computations in this project were carried out by an advanced large language model (LLM), through an iterative inter...

GuidelineGuard: An Agentic Retrieval-Augmented Generation Framework with Sentence-Level Citation Auditing for Guideline-Grounded Question Answering

GuidelinesGuard, a modular multi-agent retrieval-augmented generation pipeline in which a separate Auditor verifies claim–sentence support before a recommendation is surfaced, is introduced as a selective claim–evidence verification mechanism.

How to train your slop cannon: A short guide to using large language models for research in the natural sciences

Large Language Models are transforming mathematics and the physical sciences, allowing scientists to explore ideas quickly and raise their sights to grand challenges. But they also produce plausible but wrong text at industrial scale. Staying afloat in this torrent of slop requires scrutinising everything the model pro...

BigMixSolDB: Extraction of a solubility database in solvent mixtures with an uncertainty-quantified large language model-based pipeline

The rapidly expanding body of chemical literature contains physical data scattered across unstructured text and complex tables in thousands of publications. Translating this information into machine-readable formats is essential for training data-driven chemical models. The lack of uncertainty quantification in computa...