Creating serendipitous encounters in a geographically distributed community. - Adithya Renduchintala; Aisling Kelliher; Hari Sundaram (HCM@MM, 2006)

Designing for persistent audio conversations in the enterprise. - Adithya Renduchintala; Shreeharsh Kelkar; Ajita John; Dorée D. Seligmann (DUX, 2007)

Using Machine Learning and HL7 LOINC DO for Classification of Clinical Documents. - Adithya Renduchintala; Amy Zhang; Thomas Polzin; Gilan Saawadi (AMIA, 2013)

User Modeling in Language Learning with Macaronic Texts. - Adithya Renduchintala; Rebecca Knowles; Philipp Koehn; Jason Eisner (ACL (1), 2016)

Creating Interactive Macaronic Interfaces for Language Learning. - Adithya Renduchintala; Rebecca Knowles; Philipp Koehn; Jason Eisner (ACL (System Demonstrations), 2016)

Analyzing Learner Understanding of Novel L2 Vocabulary. - Rebecca Knowles; Adithya Renduchintala; Philipp Koehn; Jason Eisner (CoNLL, 2016)

Knowledge Tracing in Sequential Learning of Inflected Vocabulary. - Adithya Renduchintala; Philipp Koehn; Jason Eisner (CoNLL, 2017)

Multi-Modal Data Augmentation for End-to-end ASR. - Adithya Renduchintala; Shuoyang Ding; Matthew Wiesner; Shinji Watanabe 001 (INTERSPEECH, 2018)

ESPnet: End-to-End Speech Processing Toolkit. - Shinji Watanabe 001; Takaaki Hori; Shigeki Karita; Tomoki Hayashi; Jiro Nishitoba; Yuya Unno; Nelson Enrique Yalta Soplin; Jahn Heymann; Matthew Wiesner; Nanxin Chen; Adithya Renduchintala; Tsubasa Ochiai (INTERSPEECH, 2018)

The JHU/KyotoU Speech Translation System for IWSLT 2018. - Hirofumi Inaguma; Xuan Zhang 008; Zhiqi Wang; Adithya Renduchintala; Shinji Watanabe 001; Kevin Duh (IWSLT, 2018)

Character-Aware Decoder for Neural Machine Translation. - Adithya Renduchintala; Pamela Shapiro; Kevin Duh; Philipp Koehn (CoRR, 2018)

Low Resource Multi-modal Data Augmentation for End-to-end ASR. - Matthew Wiesner; Adithya Renduchintala; Shinji Watanabe 001; Chunxi Liu; Najim Dehak; Sanjeev Khudanpur (CoRR, 2018)

Simple Construction of Mixed-Language Texts for Vocabulary Learning. - Adithya Renduchintala; Philipp Koehn; Jason Eisner (BEA@ACL, 2019)

Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary. - Adithya Renduchintala; Philipp Koehn; Jason Eisner (EMNLP/IJCNLP (1), 2019)

Pretraining by Backtranslation for End-to-End ASR in Low-Resource Settings. - Matthew Wiesner; Adithya Renduchintala; Shinji Watanabe 001; Chunxi Liu; Najim Dehak; Sanjeev Khudanpur (INTERSPEECH, 2019)

A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation. - Shuoyang Ding; Adithya Renduchintala; Kevin Duh (MTSummit (1), 2019)

Character-Aware Decoder for Translation into Morphologically Rich Languages. - Adithya Renduchintala; Pamela Shapiro; Kevin Duh; Philipp Koehn (MTSummit (1), 2019)

A Call for Prudent Choice of Subword Merge Operations. - Shuoyang Ding; Adithya Renduchintala; Kevin Duh (CoRR, 2019)

Machine Translation quality across demographic dialectal variation in Social Media. - Adithya Renduchintala; Dmitriy Genzel (AMTA (2), 2020)

An Exploratory Study on Multilingual Quality Estimation. - Shuo Sun; Marina Fomicheva; Frédéric Blain; Vishrav Chaudhary; Ahmed El-Kishky; Adithya Renduchintala; Francisco Guzmán; Lucia Specia (AACL/IJCNLP, 2020)

Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. - Wei-Jen Ko; Ahmed El-Kishky; Adithya Renduchintala; Vishrav Chaudhary; Naman Goyal 001; Francisco Guzmán; Pascale Fung; Philipp Koehn; Mona T. Diab (ACL/IJCNLP (1), 2021)

Gender bias amplification during Speed-Quality optimization in Neural Machine Translation. - Adithya Renduchintala; Denise Díaz; Kenneth Heafield; Xian Li 003; Mona T. Diab (ACL/IJCNLP (2), 2021)

Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. - Yilun Zhou; Adithya Renduchintala; Xian Li 003; Sida Wang 001; Yashar Mehdad; Asish Ghoshal (AISTATS, 2021)

Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders. - Xiang Kong; Adithya Renduchintala; James Cross 003; Yuqing Tang; Jiatao Gu; Xian Li 003 (EACL, 2021)

Quality Estimation without Human-labeled Data. - Yi-Lin Tuan; Ahmed El-Kishky; Adithya Renduchintala; Vishrav Chaudhary; Francisco Guzmán; Lucia Specia (EACL, 2021)

XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment. - Ahmed El-Kishky; Adithya Renduchintala; James Cross 003; Francisco Guzmán; Philipp Koehn (EMNLP (1), 2021)

Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms. - Yilun Zhou; Adi Renduchintala; Xian Li 003; Sida Wang 001; Yashar Mehdad; Asish Ghoshal (CoRR, 2021)

Investigating Failures of Automatic Translation in the Case of Unambiguous Gender. - Adithya Renduchintala; Adina Williams (CoRR, 2021)

Investigating Failures of Automatic Translationin the Case of Unambiguous Gender. - Adi Renduchintala; Adina Williams (ACL (1), 2022)

AutoReply: Detecting Nonsense in Dialogue Introspectively with Discriminative Replies. - Weiyan Shi; Emily Dinan; Adi Renduchintala; Daniel Fried; Athul Paul Jacob; Zhou Yu; Mike Lewis (CoRR, 2022)

AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies. - Weiyan Shi; Emily Dinan; Adi Renduchintala; Daniel Fried; Athul Paul Jacob; Zhou Yu; Mike Lewis (EMNLP (Findings), 2023)

Tied-Lora: Enhacing parameter efficiency of LoRA with weight tying. - Adithya Renduchintala; Tugrul Konuk; Oleksii Kuchaiev (CoRR, 2023)

Tied-LoRA: Enhancing parameter efficiency of LoRA with Weight Tying. - Adithya Renduchintala; Tugrul Konuk; Oleksii Kuchaiev (NAACL-HLT, 2024)

Empowering Federated Learning for Massive Models with NVIDIA FLARE. - Holger R. Roth; Ziyue Xu 001; Yuan-Ting Hsieh; Adithya Renduchintala; Isaac Yang; Zhihong Zhang 001; Yuhong Wen; Sean Yang; Kevin Lu; Kristopher Kersten; Camir Ricketts; Daguang Xu; et al. (CoRR, 2024)

Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment. - Shengyang Sun; Yian Zhang; Alexander Bukharin; David Mosallanezhad; Jiaqi Zeng; Soumye Singhal; Gerald Shen; Adithya Renduchintala; Tugrul Konuk; Yi Dong; Zhilin Wang; Dmitry Chichkov; et al. (CoRR, 2025)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - 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; et al. (CoRR, 2025)

Adversarial Training of Reward Models. - Alexander Bukharin; Haifeng Qian; Shengyang Sun; Adithya Renduchintala; Soumye Singhal; Zhilin Wang; Oleksii Kuchaiev; Olivier Delalleau; Tuo Zhao (CoRR, 2025)

Llama-Nemotron: Efficient Reasoning Models. - 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; et al. (CoRR, 2025)

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model. - Aarti Basant; Abhijit Khairnar; Abhijit Paithankar; Abhinav Khattar; Adithya Renduchintala; Aditya Malte; Akhiad Bercovich; Akshay Hazare; Alejandra Rico; Aleksander Ficek; Alex Kondratenko; Alex Shaposhnikov; et al. (CoRR, 2025)