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ORCIDAdithya Renduchintala
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2020 – today
- 2025
[i19]Shengyang Sun, Yian Zhang, Alexander Bukharin, David Mosallanezhad, Jiaqi Zeng, Soumye Singhal, Gerald Shen, Adithya Renduchintala, Tugrul Konuk, Yi Dong, Zhilin Wang, Dmitry Chichkov, Olivier Delalleau, Oleksii Kuchaiev:
Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment. CoRR abs/2502.00203 (2025)- [i18]Aaron Blakeman, Aarti Basant, Abhinav Khattar, Adithya Renduchintala, Akhiad Bercovich, Aleksander Ficek, Alexis Bjorlin, Ali Taghibakhshi, Amala Sanjay Deshmukh, Ameya Sunil Mahabaleshwarkar, Andrew Tao, Anna Shors, Ashwath Aithal, Ashwin Poojary, Ayush Dattagupta, Balaram Buddharaju, Bobby Chen, Boris Ginsburg, Boxin Wang, Brandon Norick, Brian Butterfield, Bryan Catanzaro, Carlo del Mundo, Chengyu Dong, Christine Harvey, Christopher Parisien, Dan Su, Daniel Korzekwa, Danny Yin, Daria Gitman, David Mosallanezhad, Deepak Narayanan, Denys Fridman, Dima Rekesh, Ding Ma, Dmytro Pykhtar, Dong Ahn, Duncan Riach, Dusan Stosic, Eileen Long, Elad Segal, Ellie Evans, Eric Chung, Erick Galinkin, Evelina Bakhturina, Ewa Dobrowolska, Fei Jia, Fuxiao Liu, Gargi Prasad, Gerald Shen, Guilin Liu, Guo Chen, Haifeng Qian, Helen Ngo, Hongbin Liu, Hui Li, Igor Gitman, Ilia Karmanov, Ivan Moshkov, Izik Golan, Jan Kautz, Jane Polak Scowcroft, Jared Casper, Jarno Seppänen, Jason Lu, Jason Sewall, Jiaqi Zeng, Jiaxuan You, Jimmy Zhang, Jing Zhang, Jining Huang, Jinze Xue, Jocelyn Huang, Joey Conway, John Kamalu, Jon Barker, Jonathan M. Cohen, Joseph Jennings, Jupinder Parmar, Karan Sapra, Kari Briski, Kateryna Chumachenko, Katherine Luna, Keshav Santhanam, Kezhi Kong, Kirthi Sivamani, Krzysztof Pawelec, Kumar Anik, Kunlun Li, Lawrence McAfee, Leon Derczynski, Lindsey Pavao, Luis Vega, Lukas Voegtle, Maciej Bala, Maer Rodrigues de Melo, Makesh Narsimhan Sreedhar, Marcin Chochowski, Markus Kliegl:
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. CoRR abs/2504.03624 (2025) - [i17]Alexander Bukharin, Haifeng Qian, Shengyang Sun, Adithya Renduchintala, Soumye Singhal, Zhilin Wang, Oleksii Kuchaiev, Olivier Delalleau, Tuo Zhao:
Adversarial Training of Reward Models. CoRR abs/2504.06141 (2025) - [i16]Akhiad Bercovich, Itay Levy, Izik Golan, Mohammad Dabbah, Ran El-Yaniv, Omri Puny, Ido Galil, Zach Moshe, Tomer Ronen, Najeeb Nabwani, Ido Shahaf, Oren Tropp, Ehud Karpas, Ran Zilberstein, Jiaqi Zeng, Soumye Singhal, Alexander Bukharin, Yian Zhang, Tugrul Konuk, Gerald Shen, Ameya Sunil Mahabaleshwarkar, Bilal Kartal, Yoshi Suhara, Olivier Delalleau, Zijia Chen, Zhilin Wang, David Mosallanezhad, Adi Renduchintala, Haifeng Qian, Dima Rekesh, Fei Jia, Somshubra Majumdar, Vahid Noroozi, Wasi Uddin Ahmad, Sean Narenthiran, Aleksander Ficek, Mehrzad Samadi, Jocelyn Huang, Siddhartha Jain, Igor Gitman, Ivan Moshkov, Wei Du, Shubham Toshniwal, George Armstrong, Branislav Kisacanin, Matvei Novikov, Daria Gitman, Evelina Bakhturina, Jane Polak Scowcroft, John Kamalu, Dan Su, Kezhi Kong, Markus Kliegl, Rabeeh Karimi, Ying Lin, Sanjeev Satheesh, Jupinder Parmar, Pritam Gundecha, Brandon Norick, Joseph Jennings, Shrimai Prabhumoye, Syeda Nahida Akter, Mostofa Patwary, Abhinav Khattar, Deepak Narayanan, Roger Waleffe, Jimmy Zhang, Bor-Yiing Su, Guyue Huang, Terry Kong, Parth Chadha, Sahil Jain, Christine Harvey, Elad Segal, Jining Huang, Sergey Kashirsky, Robert McQueen, Izzy Putterman, George Lam, Arun Venkatesan, Sherry Wu, Vinh Nguyen, Manoj Kilaru, Andrew Wang, Anna Warno, Abhilash Somasamudramath, Sandip Bhaskar, Maka Dong, Nave Assaf, Shahar Mor, Omer Ullman Argov, Scot Junkin, Oleksandr Romanenko, Pedro Larroy, Monika Katariya, Marco Rovinelli, Viji Balas, Nicholas Edelman, Anahita Bhiwandiwalla, Muthu Subramaniam:
Llama-Nemotron: Efficient Reasoning Models. CoRR abs/2505.00949 (2025) - 2024
- [c26]Adithya Renduchintala, Tugrul Konuk, Oleksii Kuchaiev:
Tied-LoRA: Enhancing parameter efficiency of LoRA with Weight Tying. NAACL-HLT 2024: 8694-8705 - [i15]Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng:
Empowering Federated Learning for Massive Models with NVIDIA FLARE. CoRR abs/2402.07792 (2024) - 2023
- [c25]Weiyan Shi, Emily Dinan, Adi Renduchintala, Daniel Fried, Athul Paul Jacob, Zhou Yu, Mike Lewis:
AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies. EMNLP (Findings) 2023: 294-309 - [i14]Adithya Renduchintala, Tugrul Konuk, Oleksii Kuchaiev:
Tied-Lora: Enhacing parameter efficiency of LoRA with weight tying. CoRR abs/2311.09578 (2023) - 2022
- [c24]Adi Renduchintala, Adina Williams:
Investigating Failures of Automatic Translationin the Case of Unambiguous Gender. ACL (1) 2022: 3454-3469 - [i13]Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu, Xian Li:
Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders. CoRR abs/2206.02079 (2022) - [i12]Weiyan Shi
, Emily Dinan, Adi Renduchintala, Daniel Fried, Athul Paul Jacob, Zhou Yu, Mike Lewis:
AutoReply: Detecting Nonsense in Dialogue Introspectively with Discriminative Replies. CoRR abs/2211.12615 (2022) - 2021
- [c23]Adithya Renduchintala, Denise Díaz, Kenneth Heafield, Xian Li, Mona T. Diab:
Gender bias amplification during Speed-Quality optimization in Neural Machine Translation. ACL/IJCNLP (2) 2021: 99-109 - [c22]Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmán, Pascale Fung, Philipp Koehn, Mona T. Diab:
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. ACL/IJCNLP (1) 2021: 802-812 - [c21]Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal:
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. AISTATS 2021: 1486-1494 - [c20]Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Francisco Guzmán, Lucia Specia:
Quality Estimation without Human-labeled Data. EACL 2021: 619-625 - [c19]Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu, Xian Li:
Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders. EACL 2021: 1613-1624 - [c18]Ahmed El-Kishky, Adithya Renduchintala, James Cross, Francisco Guzmán, Philipp Koehn:
XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment. EMNLP (1) 2021: 10424-10430 - [i11]Yilun Zhou, Adi Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal:
Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms. CoRR abs/2101.00977 (2021) - [i10]Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Francisco Guzmán, Lucia Specia:
Quality Estimation without Human-labeled Data. CoRR abs/2102.04020 (2021) - [i9]Adithya Renduchintala, Adina Williams:
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender. CoRR abs/2104.07838 (2021) - [i8]Ahmed El-Kishky, Adi Renduchintala, James Cross, Francisco Guzmán, Philipp Koehn:
XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment. CoRR abs/2104.08597 (2021) - [i7]Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmán, Pascale Fung, Philipp Koehn, Mona T. Diab:
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. CoRR abs/2105.15071 (2021) - [i6]Adithya Renduchintala, Denise Díaz, Kenneth Heafield, Xian Li, Mona T. Diab:
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation. CoRR abs/2106.00169 (2021) - 2020
- [c17]Adithya Renduchintala, Dmitriy Genzel:
Machine Translation quality across demographic dialectal variation in Social Media. AMTA (2) 2020: 162-189 - [c16]Shuo Sun, Marina Fomicheva, Frédéric Blain, Vishrav Chaudhary, Ahmed El-Kishky, Adithya Renduchintala, Francisco Guzmán, Lucia Specia:
An Exploratory Study on Multilingual Quality Estimation. AACL/IJCNLP 2020: 366-377
2010 – 2019
- 2019
- [c15]Adithya Renduchintala, Philipp Koehn, Jason Eisner:
Simple Construction of Mixed-Language Texts for Vocabulary Learning. BEA@ACL 2019: 369-379 - [c14]Adithya Renduchintala, Philipp Koehn, Jason Eisner:
Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary. EMNLP/IJCNLP (1) 2019: 6437-6442 - [c13]Matthew Wiesner, Adithya Renduchintala, Shinji Watanabe, Chunxi Liu, Najim Dehak, Sanjeev Khudanpur:
Pretraining by Backtranslation for End-to-End ASR in Low-Resource Settings. INTERSPEECH 2019: 4375-4379 - [c12]Shuoyang Ding, Adithya Renduchintala, Kevin Duh:
A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation. MTSummit (1) 2019: 204-213 - [c11]Adithya Renduchintala, Pamela Shapiro, Kevin Duh, Philipp Koehn:
Character-Aware Decoder for Translation into Morphologically Rich Languages. MTSummit (1) 2019: 244-255 - [i5]Shuoyang Ding, Adithya Renduchintala, Kevin Duh:
A Call for Prudent Choice of Subword Merge Operations. CoRR abs/1905.10453 (2019) - 2018
- [c10]Shinji Watanabe, Takaaki Hori, Shigeki Karita, Tomoki Hayashi, Jiro Nishitoba, Yuya Unno, Nelson Enrique Yalta Soplin, Jahn Heymann, Matthew Wiesner, Nanxin Chen, Adithya Renduchintala, Tsubasa Ochiai:
ESPnet: End-to-End Speech Processing Toolkit. INTERSPEECH 2018: 2207-2211 - [c9]Adithya Renduchintala, Shuoyang Ding, Matthew Wiesner, Shinji Watanabe:
Multi-Modal Data Augmentation for End-to-end ASR. INTERSPEECH 2018: 2394-2398 - [c8]Hirofumi Inaguma, Xuan Zhang, Zhiqi Wang, Adithya Renduchintala, Shinji Watanabe, Kevin Duh:
The JHU/KyotoU Speech Translation System for IWSLT 2018. IWSLT 2018: 153-159 - [i4]Adithya Renduchintala, Shuoyang Ding, Matthew Wiesner, Shinji Watanabe:
Multi-Modal Data Augmentation for End-to-end ASR. CoRR abs/1803.10299 (2018) - [i3]Shinji Watanabe, Takaaki Hori, Shigeki Karita, Tomoki Hayashi, Jiro Nishitoba, Yuya Unno, Nelson Enrique Yalta Soplin, Jahn Heymann, Matthew Wiesner, Nanxin Chen, Adithya Renduchintala, Tsubasa Ochiai:
ESPnet: End-to-End Speech Processing Toolkit. CoRR abs/1804.00015 (2018) - [i2]Adithya Renduchintala, Pamela Shapiro, Kevin Duh, Philipp Koehn:
Character-Aware Decoder for Neural Machine Translation. CoRR abs/1809.02223 (2018) - [i1]Matthew Wiesner, Adithya Renduchintala, Shinji Watanabe, Chunxi Liu, Najim Dehak, Sanjeev Khudanpur:
Low Resource Multi-modal Data Augmentation for End-to-end ASR. CoRR abs/1812.03919 (2018) - 2017
- [c7]Adithya Renduchintala, Philipp Koehn, Jason Eisner:
Knowledge Tracing in Sequential Learning of Inflected Vocabulary. CoNLL 2017: 238-247 - 2016
- [c6]Adithya Renduchintala, Rebecca Knowles, Philipp Koehn, Jason Eisner:
User Modeling in Language Learning with Macaronic Texts. ACL (1) 2016 - [c5]Adithya Renduchintala, Rebecca Knowles, Philipp Koehn, Jason Eisner:
Creating Interactive Macaronic Interfaces for Language Learning. ACL (System Demonstrations) 2016: 133-138 - [c4]Rebecca Knowles, Adithya Renduchintala, Philipp Koehn, Jason Eisner:
Analyzing Learner Understanding of Novel L2 Vocabulary. CoNLL 2016: 126-135 - 2013
- [c3]Adithya Renduchintala, Amy Zhang, Thomas Polzin, Gilan Saawadi:
Using Machine Learning and HL7 LOINC DO for Classification of Clinical Documents. AMIA 2013
2000 – 2009
- 2007
- [c2]Adithya Renduchintala, Shreeharsh Kelkar, Ajita John, Dorée D. Seligmann:
Designing for persistent audio conversations in the enterprise. DUX 2007: 11 - 2006
- [c1]Adithya Renduchintala, Aisling Kelliher, Hari Sundaram:
Creating serendipitous encounters in a geographically distributed community. HCM@MM 2006: 45-54
Coauthor Index
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