Shankar Kumar - RankMe

88 papers A* 5A 10C 1Misc 8Journal 46Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Massive Sound Embedding Benchmark (MSEB). CoRR Georg Heigold, Ehsan Variani, Tom Bagby, Cyril Allauzen, Ji Ma, Shankar Kumar, Michael Riley
2025	Misc	`conf`	Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing. ICASSP Hao Zhang, Felix Stahlberg, Shankar Kumar
2025	J	`jnl`	Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing. CoRR Hao Zhang, Felix Stahlberg, Shankar Kumar
2025	J	`jnl`	Retrieval Augmented Question Answering: When Should LLMs Admit Ignorance? CoRR Dingmin Wang, Ji Ma, Shankar Kumar
2025	A*	`conf`	The Role of Outgoing Connection Heterogeneity in Feedforward Layers of Large Language Models. EMNLP Felix Stahlberg, Shankar Kumar
2024	J	`jnl`	Dynamic Subset Tuning: Expanding the Operational Range of Parameter-Efficient Training for Large Language Models. CoRR Felix Stahlberg, Jared Lichtarge, Shankar Kumar
2024	J	`jnl`	Spelling Correction through Rewriting of Non-Autoregressive ASR Lattices. CoRR Leonid Velikovich, Christopher Li, Diamantino Caseiro, Shankar Kumar, Pat Rondon, Kandarp Joshi, Xavier Velez
2024	—	`conf`	Synthetic Data Generation for Low-resource Grammatical Error Correction with Tagged Corruption Models. BEA Felix Stahlberg, Shankar Kumar
2024	—	`conf`	Towards an On-device Agent for Text Rewriting. NAACL-HLT (Findings) Yun Zhu, Yinxiao Liu, Felix Stahlberg, Shankar Kumar, Yu-Hui Chen, Liangchen Luo, Lei Shu, Renjie Liu, Jindong Chen, Lei Meng
2023	A*	`conf`	Fast Text Generation with Text-Editing Models. KDD Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn
2023	J	`jnl`	Heterogeneous Federated Learning Using Knowledge Codistillation. CoRR Jared Lichtarge, Ehsan Amid, Shankar Kumar, Tien-Ju Yang, Rohan Anil, Rajiv Mathews
2023	—	`conf`	Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models. EMNLP (Findings) Arya McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Ke Wu
2023	J	`jnl`	Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models. CoRR Arya D. McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Ke Wu
2023	J	`jnl`	Measuring Re-identification Risk. CoRR CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andrés Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong
2023	J	`jnl`	Measuring Re-identification Risk. Proc. ACM Manag. Data CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong
2023	Misc	`conf`	Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. ICASSP Weiran Wang, Ding Zhao, Shaojin Ding, Hao Zhang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Yanzhang He, Ian McGraw, Shankar Kumar
2023	A	`conf`	Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. INTERSPEECH W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath
2023	J	`jnl`	Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. CoRR W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath
2023	J	`jnl`	Towards an On-device Agent for Text Rewriting. CoRR Yun Zhu, Yinxiao Liu, Felix Stahlberg, Shankar Kumar, Yu-Hui Chen, Liangchen Luo, Lei Shu, Renjie Liu, Jindong Chen, Lei Meng
2022	Misc	`conf`	Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. ICASSP Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews
2022	J	`jnl`	Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. CoRR Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews
2022	J	`jnl`	Conciseness: An Overlooked Language Task. CoRR Felix Stahlberg, Aashish Kumar, Chris Alberti, Shankar Kumar
2022	J	`jnl`	Improved Long-Form Spoken Language Translation with Large Language Models. CoRR Arya D. McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Axel H. Ng
2022	—	`conf`	Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES. NAACL-HLT Felix Stahlberg, Shankar Kumar
2022	J	`jnl`	Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES. CoRR Felix Stahlberg, Shankar Kumar
2022	J	`jnl`	Scaling Language Model Size in Cross-Device Federated Learning. CoRR Jae Hun Ro, Theresa Breiner, Lara McConnaughey, Mingqing Chen, Ananda Theertha Suresh, Shankar Kumar, Rajiv Mathews
2022	A	`conf`	Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. INTERSPEECH W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor D. Strohman, Shankar Kumar
2022	J	`jnl`	Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. CoRR W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor Strohman, Shankar Kumar
2022	J	`jnl`	Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models. CoRR Jared Lichtarge, Chris Alberti, Shankar Kumar
2022	J	`jnl`	Text Generation with Text-Editing Models. CoRR Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn
2022	J	`jnl`	Transformer-based Models of Text Normalization for Speech Applications. CoRR Jae Hun Ro, Felix Stahlberg, Ke Wu, Shankar Kumar
2022	—	`conf`	Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models. ACL (1) Felix Stahlberg, Ilia Kulikov, Shankar Kumar
2022	J	`jnl`	Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models. CoRR Felix Stahlberg, Ilia Kulikov, Shankar Kumar
2021	—	`conf`	Data Strategies for Low-Resource Grammatical Error Correction. BEA@EACL Simon Flachs, Felix Stahlberg, Shankar Kumar
2021	A	`conf`	Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. Interspeech W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman
2021	J	`jnl`	Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. CoRR W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman
2021	J	`jnl`	Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network. CoRR Hao Zhang, You-Chi Cheng, Shankar Kumar, Mingqing Chen, Rajiv Mathews
2021	—	`conf`	Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models. BEA@EACL Felix Stahlberg, Shankar Kumar
2021	J	`jnl`	Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models. CoRR Felix Stahlberg, Shankar Kumar
2020	J	`jnl`	Data Weighted Training Strategies for Grammatical Error Correction. CoRR Jared Lichtarge, Chris Alberti, Shankar Kumar
2020	J	`jnl`	Data Weighted Training Strategies for Grammatical Error Correction. Trans. Assoc. Comput. Linguistics Jared Lichtarge, Chris Alberti, Shankar Kumar
2020	A	`conf`	Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus. INTERSPEECH Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang, Shankar Kumar
2020	J	`jnl`	Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus. CoRR Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang, Shankar Kumar
2020	—	`conf`	Seq2Edits: Sequence Transduction Using Span-level Edit Operations. EMNLP (1) Felix Stahlberg, Shankar Kumar
2020	J	`jnl`	Seq2Edits: Sequence Transduction Using Span-level Edit Operations. CoRR Felix Stahlberg, Shankar Kumar
2020	Misc	`conf`	Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss. ICASSP Qian Zhang, Han Lu, Hasim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, Shankar Kumar
2020	J	`jnl`	Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss. CoRR Qian Zhang, Han Lu, Hasim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, Shankar Kumar
2019	—	`conf`	Corpora Generation for Grammatical Error Correction. NAACL-HLT (1) Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong
2019	J	`jnl`	Corpora Generation for Grammatical Error Correction. CoRR Jared Lichtarge, Christopher Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong
2019	J	`jnl`	Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon
2019	J	`jnl`	Neural Language Modeling with Visual Features. CoRR Antonios Anastasopoulos, Shankar Kumar, Hank Liao
2018	Misc	`conf`	A Conversational Neural Language Model for Speech Recognition in Digital Assistants. ICASSP Eunjoon Cho, Shankar Kumar
2018	Misc	`conf`	Modeling Non-Linguistic Contextual Signals in LSTM Language Models Via Domain Adaptation. ICASSP Min Ma, Shankar Kumar, Fadi Biadsy, Michael Nirschl, Tomas Vykruta, Pedro J. Moreno
2018	Misc	`conf`	No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models. ICASSP Tara N. Sainath, Rohit Prabhavalkar, Shankar Kumar, Seungji Lee, Anjuli Kannan, David Rybach, Vlad Schogol, Patrick Nguyen, Bo Li, Yonghui Wu, Zhifeng Chen, Chung-Cheng Chiu
2018	Misc	`conf`	RADMM: Recurrent Adaptive Mixture Model with Applications to Domain Robust Language Modeling. ICASSP Kazuki Irie, Shankar Kumar, Michael Nirschl, Hank Liao
2018	J	`jnl`	Weakly Supervised Grammatical Error Correction using Iterative Decoding. CoRR Jared Lichtarge, Christopher Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar
2017	A	`conf`	Approaches for Neural-Network Language Model Adaptation. INTERSPEECH Min Ma, Michael Nirschl, Fadi Biadsy, Shankar Kumar
2017	J	`jnl`	Lattice Rescoring Strategies for Long Short Term Memory Language Models in Speech Recognition. CoRR Shankar Kumar, Michael Nirschl, Daniel N. Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu
2017	C	`conf`	Lattice rescoring strategies for long short term memory language models in speech recognition. ASRU Shankar Kumar, Michael Nirschl, Daniel Niels Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu
2017	J	`jnl`	No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models. CoRR Tara N. Sainath, Rohit Prabhavalkar, Shankar Kumar, Seungji Lee, Anjuli Kannan, David Rybach, Vlad Schogol, Patrick Nguyen, Bo Li, Yonghui Wu, Zhifeng Chen, Chung-Cheng Chiu
2016	A	`conf`	NN-Grams: Unifying Neural Network and n-Gram Language Models for Speech Recognition. INTERSPEECH Babak Damavandi, Shankar Kumar, Noam Shazeer, Antoine Bruguier
2016	J	`jnl`	NN-grams: Unifying neural network and n-gram language models for Speech Recognition. CoRR Babak Damavandi, Shankar Kumar, Noam Shazeer, Antoine Bruguier
2015	—	`conf`	Multilingual Open Relation Extraction Using Cross-lingual Projection. HLT-NAACL Manaal Faruqui, Shankar Kumar
2015	J	`jnl`	Multilingual Open Relation Extraction Using Cross-lingual Projection. CoRR Manaal Faruqui, Shankar Kumar
2012	J	`jnl`	Large Scale Language Modeling in Automatic Speech Recognition CoRR Ciprian Chelba, Dan Bikel, Maria Shugrina, Patrick Nguyen, Shankar Kumar
2010	—	`conf`	Expected Sequence Similarity Maximization. HLT-NAACL Cyril Allauzen, Shankar Kumar, Wolfgang Macherey, Mehryar Mohri, Michael Riley
2010	—	`conf`	Model Combination for Machine Translation. HLT-NAACL John DeNero, Shankar Kumar, Ciprian Chelba, Franz Josef Och
2009	J	`jnl`	Design validation of service delivery platform using modeling and simulation. IEEE Commun. Mag. Tony Ingham, Sandeep Rajhans, Dhiraj Kumar Sinha, Kalyani Sastry, Shankar Kumar
2009	—	`conf`	Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices. ACL/IJCNLP Shankar Kumar, Wolfgang Macherey, Chris Dyer, Franz Josef Och
2008	A*	`conf`	Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation. EMNLP Roy Tromble, Shankar Kumar, Franz Josef Och, Wolfgang Macherey
2008	A*	`conf`	Video suggestion and discovery for youtube: taking random walks through the view graph. WWW Shumeet Baluja, Rohan Seth, D. Sivakumar, Yushi Jing, Jay Yagnik, Shankar Kumar, Deepak Ravichandran, Mohamed Aly
2007	—	`conf`	Improving Word Alignment with Bridge Languages. EMNLP-CoNLL Shankar Kumar, Franz Josef Och, Wolfgang Macherey
2007	J	`jnl`	Segmentation and alignment of parallel text for statistical machine translation. Nat. Lang. Eng. Yonggang Deng, Shankar Kumar, William Byrne
2006	J	`jnl`	A weighted finite state transducer translation template model for statistical machine translation. Nat. Lang. Eng. Shankar Kumar, Yonggang Deng, William Byrne
2006	J	`jnl`	Corrections to "Segmental minimum Bayes-risk decoding for automatic speech recognition". IEEE Trans. Speech Audio Process. Vaibhava Goel, Shankar Kumar, William Byrne
2005	—	`conf`	Local Phrase Reordering Models for Statistical Machine Translation. HLT/EMNLP Shankar Kumar, William J. Byrne
2004	—	`conf`	A Smorgasbord of Features for Statistical Machine Translation. HLT-NAACL Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, Anoop Sarkar, Kenji Yamada, Alexander M. Fraser, Shankar Kumar, Libin Shen, David Smith, Katherine Eng, Viren Jain, Zhen Jin, Dragomir R. Radev
2004	—	`conf`	Minimum Bayes-Risk Decoding for Statistical Machine Translation. HLT-NAACL Shankar Kumar, William J. Byrne
2004	J	`jnl`	Segmental minimum Bayes-risk decoding for automatic speech recognition. IEEE Trans. Speech Audio Process. Vaibhava Goel, Shankar Kumar, William Byrne
2003	—	`conf`	A Weighted Finite State Transducer Implementation of the Alignment Template Model for Statistical Machine Translation. HLT-NAACL Shankar Kumar, William J. Byrne
2002	A*	`conf`	Minimum Bayes-Risk Word Alignments of Bilingual Texts. EMNLP Shankar Kumar, William Byrne
2002	A	`conf`	Risk based lattice cutting for segmental minimum Bayes-risk decoding. INTERSPEECH Shankar Kumar, William Byrne
2001	A	`conf`	Confidence based lattice segmentation and minimum Bayes-risk decoding. INTERSPEECH Vaibhava Goel, Shankar Kumar, William Byrne
2001	J	`jnl`	Normalization of non-standard words. Comput. Speech Lang. Richard Sproat, Alan W. Black, Stanley F. Chen, Shankar Kumar, Mari Ostendorf, Christopher Richards
2000	A	`conf`	Segmental minimum Bayes-risk ASR voting strategies. INTERSPEECH Vaibhava Goel, Shankar Kumar, William Byrne
2000	A	`conf`	Unifying HMM and phone-pair segment models. INTERSPEECH Hsiao-Wuen Hon, Shankar Kumar, Kuansan Wang
1996	J	`jnl`	Method for free-energy calculations using iterative techniques. J. Comput. Chem. Shankar Kumar, Philip W. Payne, Maximiliano Vásquez
1995	J	`jnl`	Multidimensional Free-Energy Calculations Using the Weighted Histogram Analysis Method. J. Comput. Chem. Shankar Kumar, John M. Rosenberg, Djamal Bouzida, Robert H. Swendsen, Peter A. Kollman