Peyman Heidari
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
4
Active years
2020–2024
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | EMNLP | AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model. | 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 |
| 2023 | ACL | A Study on the Efficiency and Generalization of Light Hybrid Retrievers. | Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari |
| 2021 | EMNLP | Building Adaptive Acceptability Classifiers for Neural NLG. | Soumya Batra, Shashank Jain, Peyman Heidari, Ankit Arun, Catharine Youngs, Xintong Li, Pinar Donmez, Shawn Mei, Shiunzu Kuo, Vikas Bhardwaj, Anuj Kumar, Michael White |
| 2021 | SIGdial | Getting to Production with Few-shot Natural Language Generation Models. | Peyman Heidari, Arash Einolghozati, Shashank Jain, Soumya Batra, Lee Callender, Ankit Arun, Shawn Mei, Sonal Gupta, Pinar Donmez, Vikas Bhardwaj, Anuj Kumar, Michael White |
| 2020 | COLING | Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. | Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White |