large language models

TOGLAS: Transistor-level OpAmp design Generation with Large language model-Assisted hierarchical topology Synthesis

Knowledge graphs and large language models for prompt-based scientometric inquiry

A randomized decision-making approach for cross-domain product conceptual design integrating large language model and unbalanced trapezoidal cloud model

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...