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Peyman Heidari
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2020 – today
- 2024
- [c5]Seungwhan Moon, Andrea Madotto, Zhaojiang Lin, Tushar Nagarajan, Matt Smith, Shashank Jain, Chun-Fu Yeh, Prakash Murugesan, Peyman Heidari, Yue Liu, Kavya Srinet, Babak Damavandi, Anuj Kumar:
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model. EMNLP (Industry Track) 2024: 1314-1332 - 2023
- [c4]Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari:
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. ACL (2) 2023: 1617-1626 - [i3]Seungwhan Moon, Andrea Madotto, Zhaojiang Lin, Tushar Nagarajan, Matt Smith, Shashank Jain, Chun-Fu Yeh, Prakash Murugesan, Peyman Heidari, Yue Liu, Kavya Srinet, Babak Damavandi, Anuj Kumar:
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model. CoRR abs/2309.16058 (2023) - 2022
- [i2]Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari:
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. CoRR abs/2210.01371 (2022) - 2021
- [c3]Soumya Batra, Shashank Jain, Peyman Heidari, Ankit Arun, Catharine Youngs, Xintong Li, Pinar Donmez, Shawn Mei, Shiunzu Kuo, Vikas Bhardwaj, Anuj Kumar, Michael White:
Building Adaptive Acceptability Classifiers for Neural NLG. EMNLP (1) 2021: 682-697 - [c2]Peyman Heidari, Arash Einolghozati, Shashank Jain, Soumya Batra, Lee Callender, Ankit Arun, Shawn Mei, Sonal Gupta, Pinar Donmez, Vikas Bhardwaj, Anuj Kumar, Michael White:
Getting to Production with Few-shot Natural Language Generation Models. SIGDIAL 2021: 66-76 - 2020
- [c1]Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White:
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. COLING (Industry) 2020: 64-77 - [i1]Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White:
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. CoRR abs/2011.03877 (2020)
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