large language models

PeerReviewAgents

PeerReviewAgents is a multi-agent framework for structured manuscript review with large language models. A default run converts a PDF locally, applies an optional desk screen, and sends the manuscript to five specialist reviewers covering scientific validity, quantitative evidence, contribution and prior work, reportin...

Musiconis MCP Server: Model Context Protocol Server for the Musiconis Medieval Music Iconography Database

This software package contains the Musiconis Model Context Protocol (MCP) server and companion FastAPI/Gradio application developed for the article “Model Context Protocol Server for the Musiconis Medieval Music Iconography Database,” submitted to Digital Medievalist. The package enables LLM-assisted exploration of the...

Preparing Citizens for Emergency Calls with a Hybrid FSM-LLM Dialogue Agent

A task-oriented dialogue agent that simulates emergency call takers to prepare citizens for effective medical emergency communication and uses a finite-state machine as its dialogue policy and large language models for natural language understanding.

Evolving transition-state search with agentic large language models

An adaptive evolutionary framework for TS search workflows that prioritizes completion of a target dataset over global algorithmic robustness and suggests that adaptive, LLM-driven evolutionary workflow optimization provides a transferable strategy for improving validated TS coverage in large-scale, failure-prone scien...

Behavioral collapse to longest-processing-time scheduling in contract-validated single-prompt large language model heuristic synthesis for identical parallel machine scheduling

Vul4Py: Benchmarking Automated Vulnerability Repair in Python with Paired Exploit and Functional Oracles

Vul4Py is presented, a Python AVR benchmark in which every entry carries a paired oracle: an exploit oracle that must fail on the vulnerable revision and pass on the fixed one, together with a project-native pytest functional oracle that must pass on both.

Educators’ Discussion with a Generative Artificial Intelligence Trainer

It is learned that genAI was created to be people pleasing which can override its ability to find truth, and how it supports error analysis in Large Language Models, and how the public should view these tools.

Harmonized recommendation with large language model guidance and reinforcement learning

Reading and Steering Representations of Materials-Science Mechanisms in an Open-Weight Language Model

Large language models can answer scientific questions, yet a correct output does not reveal whether the model represents or uses the governing physics. Here, using three open-weight Gemma 4 models (google/gemma-4-E4B-it, google/gemma-4-12B-it, google/gemma-4-31B-it) we identify three experimentally separable signatures...

Can LLMs Extract Architectural Design Decisions from Source Code Commits? - A Preliminary Exploratory Study

A preliminary study using four LLMs with zeroshot and fewshot prompting on 30 developer-written ADDs from open-source projects finds that the generated ADDs are often too long, implementation-focused, and miss the rationale behind the decision.

A dual-layer bilevel optimization model to complete algorithm evolution in agile satellite task scheduling problem using Large Language Models

Prompt engineering for medical named entity recognition: A few-shot approach with large language models