Sartipi-Sedighin at SemEval-2023 Task 2: Fine-grained Named Entity Recognition with Pre-trained Contextual Language Models and Data Augmentation from Wikipedia. - Amir Sartipi; Amirreza Sedighin; Afsaneh Fatemi; Hamidreza Baradaran Kashani (SemEval@ACL, 2023)

An Evaluation of Persian-English Machine Translation Datasets with Transformers. - Amir Sartipi; Meghdad Dehghan; Afsaneh Fatemi (CoRR, 2023)

Exploring the Potential of Machine Translation for Generating Named Entity Datasets: A Case Study between Persian and English. - Amir Sartipi; Afsaneh Fatemi (CoRR, 2023)

OPSD: an Offensive Persian Social media Dataset and its baseline evaluations. - Mehran Safayani; Amir Sartipi; Amir Hossein Ahmadi; Parniyan Jalali; Amir Hossein Mansouri; Mojtaba Bisheh-Niasar; Zahra Pourbahman (CoRR, 2024)

Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation. - Amir Sartipi; Joaquín Delgado Fernández; Sergio Potenciano Menci; Alessio Magitteri (CoRR, 2025)

CognArtive: Large Language Models for Automating Art Analysis and Decoding Aesthetic Elements. - Afshin Khadangi; Amir Sartipi; Igor Tchappi; Gilbert Fridgen (CoRR, 2025)

Towards Effective EU E-Participation: The Development of AskThePublic. - Kilian Sprenkamp; Nils Messerschmidt; Amir Sartipi; Igor Tchappi; Xiaohui Wu; Liudmila Zavolokina; Gilbert Fridgen (CoRR, 2025)

Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models. - Afshin Khadangi; Amir Sartipi; Igor Tchappi; Ramin Bahmani (CoRR, 2025)

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting. - Timothée Hornek; Amir Sartipi; Igor Tchappi; Gilbert Fridgen (CoRR, 2025)

Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning. - Afshin Khadangi; Amir Sartipi; Igor Tchappi; Ramin Bahmani; Gilbert Fridgen (CoRR, 2025)