PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks
Fuente:
arXiv
Saved in:
| Main Authors: | Berti, Alessandro, Kourani, Humam, van der Aalst, Wil M. P. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ProMoAI: Process Modeling with Generative AI
by: Kourani, Humam, et al.
Published: (2024)
by: Kourani, Humam, et al.
Published: (2024)
Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis
by: Kourani, Humam, et al.
Published: (2024)
by: Kourani, Humam, et al.
Published: (2024)
Process Modeling With Large Language Models
by: Kourani, Humam, et al.
Published: (2024)
by: Kourani, Humam, et al.
Published: (2024)
Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies
by: Berti, Alessandro, et al.
Published: (2024)
by: Berti, Alessandro, et al.
Published: (2024)
Revealing Inherent Concurrency in Event Data: A Partial Order Approach to Process Discovery
by: Kourani, Humam, et al.
Published: (2025)
by: Kourani, Humam, et al.
Published: (2025)
Bridging Domain Knowledge and Process Discovery Using Large Language Models
by: Norouzifar, Ali, et al.
Published: (2024)
by: Norouzifar, Ali, et al.
Published: (2024)
Hierarchical Decomposition of Separable Workflow-Nets
by: Kourani, Humam, et al.
Published: (2026)
by: Kourani, Humam, et al.
Published: (2026)
Leveraging Large Language Models for Enhanced Process Model Comprehension
by: Kourani, Humam, et al.
Published: (2024)
by: Kourani, Humam, et al.
Published: (2024)
Knowledge-Driven Hallucination in Large Language Models: An Empirical Study on Process Modeling
by: Kourani, Humam, et al.
Published: (2025)
by: Kourani, Humam, et al.
Published: (2025)
CPN-Py: A Python-Based Tool for Modeling and Analyzing Colored Petri Nets
by: Berti, Alessandro, et al.
Published: (2025)
by: Berti, Alessandro, et al.
Published: (2025)
Applying Process Mining on Scientific Workflows: a Case Study on High Performance Computing Data
by: Sadeghibogar, Zahra, et al.
Published: (2023)
by: Sadeghibogar, Zahra, et al.
Published: (2023)
PMAx: An Agentic Framework for AI-Driven Process Mining
by: Antonov, Anton, et al.
Published: (2026)
by: Antonov, Anton, et al.
Published: (2026)
Translating Workflow Nets into the Partially Ordered Workflow Language
by: Kourani, Humam, et al.
Published: (2025)
by: Kourani, Humam, et al.
Published: (2025)
Integrating Domain Knowledge into Process Discovery Using Large Language Models
by: Norouzifar, Ali, et al.
Published: (2025)
by: Norouzifar, Ali, et al.
Published: (2025)
Unlocking Non-Block-Structured Decisions: Inductive Mining with Choice Graphs
by: Kourani, Humam, et al.
Published: (2025)
by: Kourani, Humam, et al.
Published: (2025)
High-Level Event Mining: Overview and Future Work
by: Bakullari, Bianka, et al.
Published: (2024)
by: Bakullari, Bianka, et al.
Published: (2024)
Evaluation of Study Plans using Partial Orders
by: Rennert, Christian, et al.
Published: (2024)
by: Rennert, Christian, et al.
Published: (2024)
Challenges of Anomaly Detection in the Object-Centric Setting: Dimensions and the Role of Domain Knowledge
by: Berti, Alessandro, et al.
Published: (2024)
by: Berti, Alessandro, et al.
Published: (2024)
OCPQ: Object-Centric Process Querying & Constraints
by: Küsters, Aaron, et al.
Published: (2025)
by: Küsters, Aaron, et al.
Published: (2025)
Discovering Process Models With Long-Term Dependencies While Providing Guarantees and Filtering Infrequent Behavior Patterns
by: Mannel, Lisa Luise, et al.
Published: (2022)
by: Mannel, Lisa Luise, et al.
Published: (2022)
Object-Centric Local Process Models
by: Peeva, Viki, et al.
Published: (2024)
by: Peeva, Viki, et al.
Published: (2024)
Tailoring Machine Learning for Process Mining
by: Ceravolo, Paolo, et al.
Published: (2023)
by: Ceravolo, Paolo, et al.
Published: (2023)
PM4Py.LLM: a Comprehensive Module for Implementing PM on LLMs
by: Berti, Alessandro
Published: (2024)
by: Berti, Alessandro
Published: (2024)
Imposing Rules in Process Discovery: an Inductive Mining Approach
by: Norouzifar, Ali, et al.
Published: (2024)
by: Norouzifar, Ali, et al.
Published: (2024)
Computing Alignments for Partially-ordered Traces Through Petri Net Unfoldings
by: Siddiqui, Ariba, et al.
Published: (2025)
by: Siddiqui, Ariba, et al.
Published: (2025)
On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks
by: Rebmann, Adrian, et al.
Published: (2025)
by: Rebmann, Adrian, et al.
Published: (2025)
MEBench: Benchmarking Large Language Models for Cross-Document Multi-Entity Question Answering
by: Lin, Teng, et al.
Published: (2025)
by: Lin, Teng, et al.
Published: (2025)
Skill Learning Using Process Mining for Large Language Model Plan Generation
by: Redis, Andrei Cosmin, et al.
Published: (2024)
by: Redis, Andrei Cosmin, et al.
Published: (2024)
RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models
by: Satriani, Dario, et al.
Published: (2025)
by: Satriani, Dario, et al.
Published: (2025)
eST$^2$ Miner -- Process Discovery Based on Firing Partial Orders
by: Folz-Weinstein, Sabine, et al.
Published: (2025)
by: Folz-Weinstein, Sabine, et al.
Published: (2025)
No AI Without PI! Object-Centric Process Mining as the Enabler for Generative, Predictive, and Prescriptive Artificial Intelligence
by: van der Aalst, Wil M. P.
Published: (2025)
by: van der Aalst, Wil M. P.
Published: (2025)
Beyond Control-Flow: Integrating the Resource Perspective into Multi-Collaborative Process Modeling from Text
by: Antonov, Anton, et al.
Published: (2026)
by: Antonov, Anton, et al.
Published: (2026)
RADAR: Benchmarking Language Models on Imperfect Tabular Data
by: Gu, Ken, et al.
Published: (2025)
by: Gu, Ken, et al.
Published: (2025)
MatTools: Benchmarking Large Language Models for Materials Science Tools
by: Liu, Siyu, et al.
Published: (2025)
by: Liu, Siyu, et al.
Published: (2025)
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency
by: Li, Zhaodonghui, et al.
Published: (2024)
by: Li, Zhaodonghui, et al.
Published: (2024)
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
by: Sen, Indira, et al.
Published: (2023)
by: Sen, Indira, et al.
Published: (2023)
Relational Database Augmented Large Language Model
by: Qin, Zongyue, et al.
Published: (2024)
by: Qin, Zongyue, et al.
Published: (2024)
Schema Lineage Extraction at Scale: Multilingual Pipelines, Composite Evaluation, and Language-Model Benchmarks
by: Yin, Jiaqi, et al.
Published: (2025)
by: Yin, Jiaqi, et al.
Published: (2025)
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark
by: Li, Fangjun, et al.
Published: (2024)
by: Li, Fangjun, et al.
Published: (2024)
Confidence Estimation for Text-to-SQL in Large Language Models
by: Maleki, Sepideh Entezari, et al.
Published: (2025)
by: Maleki, Sepideh Entezari, et al.
Published: (2025)
Similar Items
-
ProMoAI: Process Modeling with Generative AI
by: Kourani, Humam, et al.
Published: (2024) -
Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis
by: Kourani, Humam, et al.
Published: (2024) -
Process Modeling With Large Language Models
by: Kourani, Humam, et al.
Published: (2024) -
Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies
by: Berti, Alessandro, et al.
Published: (2024) -
Revealing Inherent Concurrency in Event Data: A Partial Order Approach to Process Discovery
by: Kourani, Humam, et al.
Published: (2025)