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Amir Sartipi
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2020 – today
- 2026
[j1]Afshin Khadangi, Amir Sartipi, Igor Tchappi, Ramin Bahmani:
Noise augmented fine tuning for mitigating hallucinations in large language models. Neurocomputing 703: 134636 (2026)
[c7]Afshin Khadangi, Amir Sartipi, Muriel-Larissa Frank, Igor Tchappi, Gilbert Fridgen:
Socratic Pitches: Agent-Led Entrepreneur-Investor Debates for Entrepreneurship Literacy. ANT/EDI40 2026: 155-162
[c6]Esada Licina, Amir Sartipi, Qianbo Zang, Igor Tchappi, Afshin Khadangi:
HelpAgent: An Explainable Framework for Transparent and User-Centered Helpdesk Ticket Classification. ANT/EDI40 2026: 654-662
[c5]Amir Sartipi, Muriel-Larissa Frank, Afshin Khadangi, Igor Tchappi, Gilbert Fridgen:
TermSheetPilot: An LLM-Powered Agent for Filling Venture Term Sheets from Contracts for Founders and venture capitalists. ANT/EDI40 2026: 663-670
[c4]Nils Messerschmidt, Amir Sartipi, Antragama Ewa Abbas, Orestis Papageorgiou, Igor Tchappi, Gilbert Fridgen:
Why do Large Language Models Judge Differently than Humans? An Examination of Sentiment Analysis of Movie Reviews. HICSS 2026
[c3]Nils Messerschmidt, Kilian Sprenkamp, Amir Sartipi, Xiaohui Wu, Igor Tchappi, Liudmila Zavolokina, Gilbert Fridgen:
Towards Effective E-Participation of Citizens in the European Union: The Development of AskThePublic. HICSS 2026- 2025
[c2]Esada Licina
, Qianbo Zang
, Amir Sartipi
, Igor Tchappi
, Johannes Sedlmeir
, Christophe Zgrzendek
:
HelpAgent: Explainable Agent-based Helpdesk System. HAI 2025: 533-535
[i10]Amir Sartipi
, Joaquín Delgado Fernández, Sergio Potenciano Menci, Alessio Magitteri:
Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation. CoRR abs/2501.07276 (2025)
[i9]Afshin Khadangi, Amir Sartipi
, Igor Tchappi, Gilbert Fridgen:
CognArtive: Large Language Models for Automating Art Analysis and Decoding Aesthetic Elements. CoRR abs/2502.04353 (2025)
[i8]Kilian Sprenkamp, Nils Messerschmidt, Amir Sartipi
, Igor Tchappi, Xiaohui Wu, Liudmila Zavolokina, Gilbert Fridgen:
Towards Effective EU E-Participation: The Development of AskThePublic. CoRR abs/2504.03287 (2025)
[i7]Afshin Khadangi, Amir Sartipi
, Igor Tchappi, Ramin Bahmani:
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models. CoRR abs/2504.03302 (2025)
[i6]Timothée Hornek, Amir Sartipi, Igor Tchappi, Gilbert Fridgen:
Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting. CoRR abs/2506.08113 (2025)
[i5]Afshin Khadangi, Amir Sartipi, Igor Tchappi, Ramin Bahmani, Gilbert Fridgen:
Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning. CoRR abs/2507.22565 (2025)
[i4]Afshin Khadangi, Hanna Marxen, Amir Sartipi, Igor Tchappi, Gilbert Fridgen:
When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier Models. CoRR abs/2512.04124 (2025)- 2024
[i3]Mehran Safayani, Amir Sartipi
, Amir Hossein Ahmadi, Parniyan Jalali, Amir Hossein Mansouri, Mojtaba Bisheh-Niasar, Zahra Pourbahman:
OPSD: an Offensive Persian Social media Dataset and its baseline evaluations. CoRR abs/2404.05540 (2024)- 2023
[c1]Amir Sartipi
, Amirreza Sedighin, Afsaneh Fatemi, Hamidreza Baradaran Kashani:
Sartipi-Sedighin at SemEval-2023 Task 2: Fine-grained Named Entity Recognition with Pre-trained Contextual Language Models and Data Augmentation from Wikipedia. SemEval@ACL 2023: 565-579
[i2]Amir Sartipi
, Meghdad Dehghan, Afsaneh Fatemi:
An Evaluation of Persian-English Machine Translation Datasets with Transformers. CoRR abs/2302.00321 (2023)
[i1]Amir Sartipi, Afsaneh Fatemi:
Exploring the Potential of Machine Translation for Generating Named Entity Datasets: A Case Study between Persian and English. CoRR abs/2302.09611 (2023)
Coauthor Index
aka: Igor Tchappi

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last updated on 2026-08-20 00:38 CEST by the dblp team
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