Tsendsuren Munkhdalai

68 papers A* 5A 5Misc 3Journal 38Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cognate Production Using Character-Based Neural Machine Translation Without Segmentation. IEEE Access Tsolmon Zundui, Khuyagbaatar Batsuren, Tsendsuren Munkhdalai, Amarsanaa Ganbold
2025	J	`jnl`	Do LLMs Really Need 10+ Thoughts for "Find the Time 1000 Days Later"? Towards Structural Understanding of LLM Overthinking. CoRR Xinliang Frederick Zhang, Anhad Mohananey, Alexandra Chronopoulou, Pinelopi Papalampidi, Somit Gupta, Tsendsuren Munkhdalai, Lu Wang, Shyam Upadhyay
2025	J	`jnl`	Multi-Turn Puzzles: Evaluating Interactive Reasoning and Strategic Dialogue in LLMs. CoRR Kartikeya Badola, Jonathan Simon, Arian Hosseini, Sara Marie Mc Carthy, Tsendsuren Munkhdalai, Abhimanyu Goyal, Tomás Kociský, Shyam Upadhyay, Bahare Fatemi, Mehran Kazemi
2025	J	`jnl`	What Matters for Model Merging at Scale? Trans. Mach. Learn. Res. Prateek Yadav, Tu Vu, Jonathan Lai, Alexandra Chronopoulou, Manaal Faruqui, Mohit Bansal, Tsendsuren Munkhdalai
2024	Misc	`conf`	A Comparison of Parameter-Efficient ASR Domain Adaptation Methods for Universal Speech and Language Models. ICASSP Khe Chai Sim, Zhouyuan Huo, Tsendsuren Munkhdalai, Nikhil Siddhartha, Adam Stooke, Zhong Meng, Bo Li, Tara N. Sainath
2024	A	`conf`	Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. INTERSPEECH Weiran Wang, Zelin Wu, Diamantino Caseiro, Tsendsuren Munkhdalai, Khe Chai Sim, Pat Rondon, Golan Pundak, Gan Song, Rohit Prabhavalkar, Zhong Meng, Ding Zhao, Tara Sainath, Yanzhang He, Pedro Moreno Mengibar
2024	—	`conf`	Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR. NAACL (Industry Track) Zelin Wu, Gan Song, Christopher Li, Pat Rondon, Zhong Meng, Xavier Velez, Weiran Wang, Diamantino Caseiro, Golan Pundak, Tsendsuren Munkhdalai, Angad Chandorkar, Rohit Prabhavalkar
2024	J	`jnl`	Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR. CoRR Zelin Wu, Gan Song, Christopher Li, Pat Rondon, Zhong Meng, Xavier Velez, Weiran Wang, Diamantino Caseiro, Golan Pundak, Tsendsuren Munkhdalai, Angad Chandorkar, Rohit Prabhavalkar
2024	J	`jnl`	Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models. CoRR Tsendsuren Munkhdalai, Youzheng Chen, Khe Chai Sim, Fadi Biadsy, Tara N. Sainath, Pedro Moreno Mengibar
2024	Misc	`conf`	Improving Speech Recognition for African American English with Audio Classification. ICASSP Shefali Garg, Zhouyuan Huo, Khe Chai Sim, Suzan Schwartz, Mason Chua, Alëna Aksënova, Tsendsuren Munkhdalai, Levi King, Darryl Wright, Zion Mengesha, Dongseong Hwang, Tara N. Sainath, Françoise Beaufays, Pedro Moreno Mengibar
2024	J	`jnl`	Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention. CoRR Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal
2024	J	`jnl`	What Matters for Model Merging at Scale? CoRR Prateek Yadav, Tu Vu, Jonathan Lai, Alexandra Chronopoulou, Manaal Faruqui, Mohit Bansal, Tsendsuren Munkhdalai
2023	J	`jnl`	Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. CoRR Weiran Wang, Zelin Wu, Diamantino Caseiro, Tsendsuren Munkhdalai, Khe Chai Sim, Pat Rondon, Golan Pundak, Gan Song, Rohit Prabhavalkar, Zhong Meng, Ding Zhao, Tara N. Sainath, Pedro Moreno Mengibar
2023	J	`jnl`	Discrimination Neural Network Model for Binary Classification Tasks on Tabular Data. IEEE Access Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Jang-Eui Hong, Van Huy Pham, Nipon Theera-Umpon, Keun Ho Ryu
2023	A	`conf`	Dual-Mode NAM: Effective Top-K Context Injection for End-to-End ASR. INTERSPEECH Zelin Wu, Tsendsuren Munkhdalai, Pat Rondon, Golan Pundak, Khe Chai Sim, Christopher Li
2023	J	`jnl`	Improving Speech Recognition for African American English With Audio Classification. CoRR Shefali Garg, Zhouyuan Huo, Khe Chai Sim, Suzan Schwartz, Mason Chua, Alëna Aksënova, Tsendsuren Munkhdalai, Levi King, Darryl Wright, Zion Mengesha, Dongseong Hwang, Tara N. Sainath, Françoise Beaufays, Pedro Moreno Mengibar
2023	A	`conf`	Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods. INTERSPEECH Zhouyuan Huo, Khe Chai Sim, Dongseong Hwang, Tsendsuren Munkhdalai, Tara N. Sainath, Pedro Moreno Mengibar
2022	—	`conf`	Context-Aware Neural Confidence Estimation for Rare Word Speech Recognition. SLT David Qiu, Tsendsuren Munkhdalai, Yanzhang He, Khe Chai Sim
2022	Misc	`conf`	Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. ICASSP Tsendsuren Munkhdalai, Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Trevor Strohman, Françoise Beaufays
2022	—	`conf`	Internal Language Model Personalization of E2E Automatic Speech Recognition Using Random Encoder Features. SLT Adam Stooke, Khe Chai Sim, Mason Chua, Tsendsuren Munkhdalai, Trevor Strohman
2022	—	`conf`	NAM+: Towards Scalable End-to-End Contextual Biasing for Adaptive ASR. SLT Tsendsuren Munkhdalai, Zelin Wu, Golan Pundak, Khe Chai Sim, Jiayang Li, Pat Rondon, Tara N. Sainath
2022	A	`conf`	On-the-fly ASR Corrections with Audio Exemplars. INTERSPEECH Golan Pundak, Tsendsuren Munkhdalai, Khe Chai Sim
2022	J	`jnl`	Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting. IEEE Access Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Van Huy Pham, Meijing Li, Keun Ho Ryu, Nipon Theera-Umpon
2021	—	`conf`	Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. EMNLP (1) Trapit Bansal, Karthick Prasad Gunasekaran, Tong Wang, Tsendsuren Munkhdalai, Andrew McCallum
2021	J	`jnl`	Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. CoRR Trapit Bansal, Karthick Gunasekaran, Tong Wang, Tsendsuren Munkhdalai, Andrew McCallum
2021	J	`jnl`	Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. CoRR Tsendsuren Munkhdalai, Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Trevor Strohman, Françoise Beaufays
2021	A*	`conf`	Learning Associative Inference Using Fast Weight Memory. ICLR Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber
2021	A	`conf`	Robust Continuous On-Device Personalization for Automatic Speech Recognition. Interspeech Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Tsendsuren Munkhdalai, Françoise Beaufays
2020	J	`jnl`	A Locally Adaptive Interpretable Regression. CoRR Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Keun Ho Ryu
2020	—	`conf`	Exploring and Predicting Transferability across NLP Tasks. EMNLP (1) Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer
2020	J	`jnl`	Exploring and Predicting Transferability across NLP Tasks. CoRR Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer
2020	J	`jnl`	GEV-NN: A deep neural network architecture for class imbalance problem in binary classification. Knowl. Based Syst. Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Keun Ho Ryu
2020	J	`jnl`	Learning Associative Inference Using Fast Weight Memory. CoRR Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber
2020	—	`conf`	Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks. EMNLP (1) Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum
2020	J	`jnl`	Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks. CoRR Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum
2020	J	`jnl`	Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling. CoRR Tsendsuren Munkhdalai
2019	J	`jnl`	An End-to-End Adaptive Input Selection With Dynamic Weights for Forecasting Multivariate Time Series. IEEE Access Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Kwang-Ho Park, Tsatsral Amarbayasgalan, Erdenebileg Batbaatar, Hyun Woo Park, Keun Ho Ryu
2019	—	`conf`	Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. ICLR (Poster) Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
2019	A*	`conf`	Metalearned Neural Memory. NeurIPS Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
2019	J	`jnl`	Metalearned Neural Memory. CoRR Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
2019	J	`jnl`	Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction. IEEE Access Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Kwang-Ho Park, Heon Gyu Lee, Meijing Li, Keun Ho Ryu
2018	J	`jnl`	A Dependency Graph-Based Keyphrase Extraction Method Using Anti-patterns. J. Inf. Process. Syst. Khuyagbaatar Batsuren, Erdenebileg Batbaatar, Tsendsuren Munkhdalai, Meijing Li, Oyun-Erdene Namsrai, Keun Ho Ryu
2018	J	`jnl`	Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. CoRR Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
2018	J	`jnl`	Metalearning with Hebbian Fast Weights. CoRR Tsendsuren Munkhdalai, Adam Trischler
2018	A*	`conf`	Rapid Adaptation with Conditionally Shifted Neurons. ICML Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
2018	—	`conf`	Sentence Simplification with Memory-Augmented Neural Networks. NAACL-HLT (2) Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu
2018	J	`jnl`	Sentence Simplification with Memory-Augmented Neural Networks. CoRR Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu
2018	A*	`conf`	Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study. EMNLP John Lalor, Hao Wu, Tsendsuren Munkhdalai, Hong Yu
2017	J	`jnl`	An Analysis of Machine Learning Intelligence. CoRR John P. Lalor, Hao Wu, Tsendsuren Munkhdalai, Hong Yu
2017	J	`jnl`	Learning Rapid-Temporal Adaptations. CoRR Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Tong Wang, Adam Trischler
2017	A*	`conf`	Meta Networks. ICML Tsendsuren Munkhdalai, Hong Yu
2017	J	`jnl`	Meta Networks. CoRR Tsendsuren Munkhdalai, Hong Yu
2017	—	`conf`	Neural Semantic Encoders. EACL (1) Tsendsuren Munkhdalai, Hong Yu
2017	—	`conf`	Neural Tree Indexers for Text Understanding. EACL (1) Tsendsuren Munkhdalai, Hong Yu
2017	—	`conf`	Reasoning with Memory Augmented Neural Networks for Language Comprehension. ICLR (Poster) Tsendsuren Munkhdalai, Hong Yu
2016	—	`conf`	Citation Analysis with Neural Attention Models. Louhi@EMNLP Tsendsuren Munkhdalai, John Lalor, Hong Yu
2016	J	`jnl`	Neural Semantic Encoders. CoRR Tsendsuren Munkhdalai, Hong Yu
2016	J	`jnl`	Neural Tree Indexers for Text Understanding. CoRR Tsendsuren Munkhdalai, Hong Yu
2016	J	`jnl`	Reasoning with Memory Augmented Neural Networks for Language Comprehension. CoRR Tsendsuren Munkhdalai, Hong Yu
2015	J	`jnl`	Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations. J. Cheminformatics Tsendsuren Munkhdalai, Meijing Li, Khuyagbaatar Batsuren, Hyeon Park, Nak Choi, Keun Ho Ryu
2015	J	`jnl`	Self-training in significance space of support vectors for imbalanced biomedical event data. BMC Bioinform. Tsendsuren Munkhdalai, Oyun-Erdene Namsrai, Keun Ho Ryu
2015	J	`jnl`	The CHEMDNER corpus of chemicals and drugs and its annotation principles. J. Cheminformatics Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong Lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel M. Lowe, Roger A. Sayle, Riza Theresa Batista-Navarro, Rafal Rak, Torsten Huber, Tim Rocktäschel, Sérgio Matos, David Campos, Buzhou Tang, Hua Xu, Tsendsuren Munkhdalai, Keun Ho Ryu, S. V. Ramanan, P. Senthil Nathan, Slavko Zitnik, Marko Bajec, Lutz Weber, Matthias Irmer, Saber A. Akhondi, Jan A. Kors, Shuo Xu, Xin An, Utpal Kumar Sikdar, Asif Ekbal, Masaharu Yoshioka, Thaer M. Dieb, Miji Choi, Karin Verspoor, Madian Khabsa, C. Lee Giles, Hongfang Liu, Ravikumar Komandur Elayavilli, Andre Lamurias, Francisco M. Couto, Hong-Jie Dai, Richard Tzong-Han Tsai, Caglar Ata, Tolga Can, Anabel Usie, Rui Alves, Isabel Segura-Bedmar, Paloma Martínez, Julen Oyarzabal, Alfonso Valencia
2015	—	`conf`	Towards a Unified Named Entity Recognition System - Disease Mention Identification. BIOINFORMATICS Tsendsuren Munkhdalai, Meijing Li, Khuyagbaatar Batsuren, Keun Ho Ryu
2013	J	`jnl`	A Feature Selection-based Ensemble Method for Arrhythmia Classification. J. Inf. Process. Syst. Erdenetuya Namsrai, Tsendsuren Munkhdalai, Meijing Li, Jung-Hoon Shin, Oyun-Erdene Namsrai, Keun Ho Ryu
2012	—	`conf`	A Self-training with Active Example Selection Criterion for Biomedical Named Entity Recognition. ICHIT (1) Eonseok Shin, Tsendsuren Munkhdalai, Meijing Li, Incheon Paik, Keun Ho Ryu
2012	J	`jnl`	An Active Co-Training Algorithm for Biomedical Named-Entity Recognition. J. Inf. Process. Syst. Tsendsuren Munkhdalai, Meijing Li, Unil Yun, Oyun-Erdene Namsrai, Keun Ho Ryu
2012	—	`conf`	Bio Named Entity Recognition Based on Co-training Algorithm. AINA Workshops Tsendsuren Munkhdalai, Meijing Li, Taewook Kim, Oyun-Erdene Namsrai, Seon-Phil Jeong, Jungpil Shin, Keun Ho Ryu
2011	—	`conf`	BFSM: Finite state machine learned as name boundary definer for bio named entity recognition. iCAST Tsendsuren Munkhdalai, Meijing Li, Erdenetuya Namsrai, Oyun-Erdene Namsrai, Keun Ho Ryu