large language models

Chinese-SkillSpan: A Benchmark for Competency Span Extraction from Chinese Job Advertisements

Online job advertisements can reveal changing skill demand only when competency mentions are recoverable as auditable text spans. Chinese lacks a large resource that combines explicit span-boundary rules with coverage of different recruitment genres. We present Chinese-SkillSpan, a corpus of 22,840 sentences from four...

An investigation into LLMs’ abilities in discerning between true and false information

It is demonstrated that targeted semantic prompting improves factual discrimination but does not fully separate semantic correspondence from information familiarity, plausibility, and other non-factual textual cues, providing a basis for future studies to determine how far epistemic credibility can be sustained or infl...

A Conjecture of MatterJianzi Theory——A Unified Derivation of the Equations of Modern Physics

Starting from the fundamental equations of Jianzi Theory, this paper systematically derives the core equation systems of modern physics. The derivation introduces no external assumptions; it proceeds solely by applying limit conditions to the fundamental quantities of Jianzi Theory—vibrational level \mathcal{V}, positi...

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...

Chinese-SkillSpan: A Benchmark for Competency Span Extraction from Chinese Job Advertisements

Online job advertisements can reveal changing skill demand only when competency mentions are recoverable as auditable text spans. Chinese lacks a large resource that combines explicit span-boundary rules with coverage of different recruitment genres. We present Chinese-SkillSpan, a corpus of 22,840 sentences from four...

A Conjecture of MatterJianzi Theory——A Unified Derivation of the Equations of Modern Physics

Starting from the fundamental equations of Jianzi Theory, this paper systematically derives the core equation systems of modern physics. The derivation introduces no external assumptions; it proceeds solely by applying limit conditions to the fundamental quantities of Jianzi Theory—vibrational level \mathcal{V}, positi...

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.