BFSM: Finite state machine learned as name boundary definer for bio named entity recognition. - Tsendsuren Munkhdalai; Meijing Li; Erdenetuya Namsrai; Oyun-Erdene Namsrai; Keun Ho Ryu (iCAST, 2011)

Bio Named Entity Recognition Based on Co-training Algorithm. - Tsendsuren Munkhdalai; Meijing Li; Taewook Kim; Oyun-Erdene Namsrai; Seon-Phil Jeong; Jungpil Shin 001; Keun Ho Ryu (AINA Workshops, 2012)

A Self-training with Active Example Selection Criterion for Biomedical Named Entity Recognition. - Eonseok Shin; Tsendsuren Munkhdalai; Meijing Li; Incheon Paik; Keun Ho Ryu (ICHIT (1), 2012)

An Active Co-Training Algorithm for Biomedical Named-Entity Recognition. - Tsendsuren Munkhdalai; Meijing Li; Unil Yun; Oyun-Erdene Namsrai; Keun Ho Ryu (J. Inf. Process. Syst., 2012)

A Feature Selection-based Ensemble Method for Arrhythmia Classification. - Erdenetuya Namsrai; Tsendsuren Munkhdalai; Meijing Li; Jung-Hoon Shin; Oyun-Erdene Namsrai; Keun Ho Ryu (J. Inf. Process. Syst., 2013)

Towards a Unified Named Entity Recognition System - Disease Mention Identification. - Tsendsuren Munkhdalai; Meijing Li; Khuyagbaatar Batsuren; Keun Ho Ryu (BIOINFORMATICS, 2015)

Self-training in significance space of support vectors for imbalanced biomedical event data. - Tsendsuren Munkhdalai; Oyun-Erdene Namsrai; Keun Ho Ryu (BMC Bioinform., 2015)

The CHEMDNER corpus of chemicals and drugs and its annotation principles. - 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; et al. (J. Cheminformatics, 2015)

Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations. - Tsendsuren Munkhdalai; Meijing Li; Khuyagbaatar Batsuren; Hyeon Park; Nak Choi; Keun Ho Ryu (J. Cheminformatics, 2015)

Citation Analysis with Neural Attention Models. - Tsendsuren Munkhdalai; John Lalor; Hong Yu 001 (Louhi@EMNLP, 2016)

Neural Tree Indexers for Text Understanding. - Tsendsuren Munkhdalai; Hong Yu 001 (EACL (1), 2017)

Neural Semantic Encoders. - Tsendsuren Munkhdalai; Hong Yu 001 (EACL (1), 2017)

Reasoning with Memory Augmented Neural Networks for Language Comprehension. - Tsendsuren Munkhdalai; Hong Yu 001 (ICLR (Poster), 2017)

Meta Networks. - Tsendsuren Munkhdalai; Hong Yu 001 (ICML, 2017)

An Analysis of Machine Learning Intelligence. - John P. Lalor; Hao Wu 055; Tsendsuren Munkhdalai; Hong Yu 001 (CoRR, 2017)

Learning Rapid-Temporal Adaptations. - Tsendsuren Munkhdalai; Xingdi Yuan; Soroush Mehri; Tong Wang 012; Adam Trischler (CoRR, 2017)

Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study. - John Lalor; Hao Wu 055; Tsendsuren Munkhdalai; Hong Yu 001 (EMNLP, 2018)

Rapid Adaptation with Conditionally Shifted Neurons. - Tsendsuren Munkhdalai; Xingdi Yuan; Soroush Mehri; Adam Trischler (ICML, 2018)

Sentence Simplification with Memory-Augmented Neural Networks. - Tu Vu; Baotian Hu; Tsendsuren Munkhdalai; Hong Yu 001 (NAACL-HLT (2), 2018)

Metalearning with Hebbian Fast Weights. - Tsendsuren Munkhdalai; Adam Trischler (CoRR, 2018)

A Dependency Graph-Based Keyphrase Extraction Method Using Anti-patterns. - Khuyagbaatar Batsuren; Erdenebileg Batbaatar; Tsendsuren Munkhdalai; Meijing Li; Oyun-Erdene Namsrai; Keun Ho Ryu (J. Inf. Process. Syst., 2018)

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. - Rajarshi Das; Tsendsuren Munkhdalai; Xingdi Yuan; Adam Trischler; Andrew McCallum (ICLR (Poster), 2019)

Metalearned Neural Memory. - Tsendsuren Munkhdalai; Alessandro Sordoni; Tong Wang 012; Adam Trischler (NeurIPS, 2019)

An End-to-End Adaptive Input Selection With Dynamic Weights for Forecasting Multivariate Time Series. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Kwang-Ho Park; Tsatsral Amarbayasgalan; Erdenebileg Batbaatar; Hyun Woo Park; Keun Ho Ryu (IEEE Access, 2019)

Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Kwang-Ho Park; Heon Gyu Lee; Meijing Li; Keun Ho Ryu (IEEE Access, 2019)

Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks. - Trapit Bansal; Rishikesh Jha; Tsendsuren Munkhdalai; Andrew McCallum (EMNLP (1), 2020)

Exploring and Predicting Transferability across NLP Tasks. - Tu Vu; Tong Wang 012; Tsendsuren Munkhdalai; Alessandro Sordoni; Adam Trischler; Andrew Mattarella-Micke; Subhransu Maji; Mohit Iyyer (EMNLP (1), 2020)

A Locally Adaptive Interpretable Regression. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Keun Ho Ryu (CoRR, 2020)

Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling. - Tsendsuren Munkhdalai (CoRR, 2020)

GEV-NN: A deep neural network architecture for class imbalance problem in binary classification. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Keun Ho Ryu (Knowl. Based Syst., 2020)

Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. - Trapit Bansal; Karthick Prasad Gunasekaran; Tong Wang 012; Tsendsuren Munkhdalai; Andrew McCallum (EMNLP (1), 2021)

Learning Associative Inference Using Fast Weight Memory. - Imanol Schlag; Tsendsuren Munkhdalai; Jürgen Schmidhuber (ICLR, 2021)

Robust Continuous On-Device Personalization for Automatic Speech Recognition. - Khe Chai Sim; Angad Chandorkar; Fan Gao; Mason Chua; Tsendsuren Munkhdalai; Françoise Beaufays (Interspeech, 2021)

Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. - Tsendsuren Munkhdalai; Khe Chai Sim; Angad Chandorkar; Fan Gao; Mason Chua; Trevor Strohman; Françoise Beaufays (ICASSP, 2022)

On-the-fly ASR Corrections with Audio Exemplars. - Golan Pundak; Tsendsuren Munkhdalai; Khe Chai Sim (INTERSPEECH, 2022)

NAM+: Towards Scalable End-to-End Contextual Biasing for Adaptive ASR. - Tsendsuren Munkhdalai; Zelin Wu; Golan Pundak; Khe Chai Sim; Jiayang Li; Pat Rondon; Tara N. Sainath (SLT, 2022)

Context-Aware Neural Confidence Estimation for Rare Word Speech Recognition. - David Qiu; Tsendsuren Munkhdalai; Yanzhang He; Khe Chai Sim (SLT, 2022)

Internal Language Model Personalization of E2E Automatic Speech Recognition Using Random Encoder Features. - Adam Stooke; Khe Chai Sim; Mason Chua; Tsendsuren Munkhdalai; Trevor Strohman (SLT, 2022)

Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Van Huy Pham 001; Meijing Li; Keun Ho Ryu; Nipon Theera-Umpon (IEEE Access, 2022)

Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods. - Zhouyuan Huo; Khe Chai Sim; Dongseong Hwang; Tsendsuren Munkhdalai; Tara N. Sainath; Pedro Moreno Mengibar (INTERSPEECH, 2023)

Dual-Mode NAM: Effective Top-K Context Injection for End-to-End ASR. - Zelin Wu; Tsendsuren Munkhdalai; Pat Rondon; Golan Pundak; Khe Chai Sim; Christopher Li (INTERSPEECH, 2023)

Discrimination Neural Network Model for Binary Classification Tasks on Tabular Data. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Jang-Eui Hong; Van Huy Pham 001; Nipon Theera-Umpon; Keun Ho Ryu (IEEE Access, 2023)

Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. - 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; et al. (CoRR, 2023)

Improving Speech Recognition for African American English with Audio Classification. - 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; et al. (ICASSP, 2024)

A Comparison of Parameter-Efficient ASR Domain Adaptation Methods for Universal Speech and Language Models. - Khe Chai Sim; Zhouyuan Huo; Tsendsuren Munkhdalai; Nikhil Siddhartha; Adam Stooke; Zhong Meng; Bo Li 028; Tara N. Sainath (ICASSP, 2024)

Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. - 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; et al. (INTERSPEECH, 2024)

Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR. - Zelin Wu; Gan Song; Christopher Li; Pat Rondon; Zhong Meng; Xavier Velez; Weiran Wang; Diamantino Caseiro; Golan Pundak; Tsendsuren Munkhdalai; Angad Chandorkar; Rohit Prabhavalkar (NAACL (Industry Track), 2024)

Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models. - Tsendsuren Munkhdalai; Youzheng Chen; Khe Chai Sim; Fadi Biadsy; Tara N. Sainath; Pedro Moreno Mengibar (CoRR, 2024)

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention. - Tsendsuren Munkhdalai; Manaal Faruqui; Siddharth Gopal (CoRR, 2024)

Cognate Production Using Character-Based Neural Machine Translation Without Segmentation. - Tsolmon Zundui; Khuyagbaatar Batsuren; Tsendsuren Munkhdalai; Amarsanaa Ganbold (IEEE Access, 2025)

What Matters for Model Merging at Scale? - Prateek Yadav; Tu Vu; Jonathan Lai; Alexandra Chronopoulou; Manaal Faruqui; Mohit Bansal; Tsendsuren Munkhdalai (Trans. Mach. Learn. Res., 2025)

Multi-Turn Puzzles: Evaluating Interactive Reasoning and Strategic Dialogue in LLMs. - Kartikeya Badola; Jonathan Simon; Arian Hosseini; Sara Marie Mc Carthy; Tsendsuren Munkhdalai; Abhimanyu Goyal; Tomás Kociský; Shyam Upadhyay; Bahare Fatemi; Mehran Kazemi (CoRR, 2025)