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Hakan Inan
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2020 – today
- 2024
- [c5]Sungho Jeon, Ching-Feng Yeh, Hakan Inan, Wei-Ning Hsu, Rashi Rungta, Yashar Mehdad, Daniel Bikel:
Attention or Convolution: Transformer Encoders in Audio Language Models for Inference Efficiency. ICASSP Workshops 2024: 555-559 - 2023
- [i8]Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom:
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR abs/2307.09288 (2023) - [i7]Sungho Jeon, Ching-Feng Yeh, Hakan Inan, Wei-Ning Hsu, Rashi Rungta, Yashar Mehdad, Daniel Bikel:
Attention or Convolution: Transformer Encoders in Audio Language Models for Inference Efficiency. CoRR abs/2311.02772 (2023) - [i6]Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, Madian Khabsa:
Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations. CoRR abs/2312.06674 (2023) - 2022
- [i5]Hakan Inan, Rashi Rungta, Yashar Mehdad:
Structured Summarization: Unified Text Segmentation and Segment Labeling as a Generation Task. CoRR abs/2209.13759 (2022) - 2021
- [i4]Stan Peshterliev, Barlas Oguz, Debojeet Chatterjee, Hakan Inan, Vikas Bhardwaj:
Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering. CoRR abs/2103.06500 (2021) - 2020
- [c4]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 - [i3]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)
2010 – 2019
- 2018
- [c3]Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik:
Towards Deep and Representation Learning for Talent Search at LinkedIn. CIKM 2018: 2253-2261 - [i2]Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik:
Towards Deep and Representation Learning for Talent Search at LinkedIn. CoRR abs/1809.06473 (2018) - 2017
- [c2]Hakan Inan, Khashayar Khosravi, Richard Socher:
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling. ICLR (Poster) 2017 - [c1]Hakan Inan, Murat A. Erdogdu, Mark J. Schnitzer:
Robust Estimation of Neural Signals in Calcium Imaging. NIPS 2017: 2901-2910 - 2016
- [i1]Hakan Inan, Khashayar Khosravi
, Richard Socher:
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling. CoRR abs/1611.01462 (2016) - 2014
- [j1]Çagatay Candan
A unified framework for derivation and implementation of Savitzky-Golay filters. Signal Process. 104: 203-211 (2014)
Coauthor Index
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last updated on 2024-09-05 23:38 CEST by the dblp team
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