Self-supervised discriminative training of statistical language models. - Puyang Xu; Damianos G. Karakos; Sanjeev Khudanpur (ASRU, 2009)

Analyzing features for automatic age estimation on cross-sectional data. - Werner Spiegl; Georg Stemmer; Eva Lasarcyk; Varada Kolhatkar; Andrew Cassidy; Blaise Potard; Stephen Shum 001; Young Chol Song; Puyang Xu; Peter Beyerlein; James D. Harnsberger; Elmar Nöth (INTERSPEECH, 2009)

Randomized maximum entropy language models. - Puyang Xu; Sanjeev Khudanpur; Asela Gunawardana (ASRU, 2011)

Efficient Subsampling for Training Complex Language Models. - Puyang Xu; Asela Gunawardana; Sanjeev Khudanpur (EMNLP, 2011)

A Model for Temporal Dependencies in Event Streams. - Asela Gunawardana; Christopher Meek; Puyang Xu (NIPS, 2011)

Semi-supervised discriminative language modeling for Turkish ASR. - Arda Çelebi; Hasim Sak; Erinç Dikici; Murat Saraclar; Maider Lehr; Emily Tucker Prud'hommeaux; Puyang Xu; Nathan Glenn; Damianos G. Karakos; Sanjeev Khudanpur; Brian Roark; Kenji Sagae; et al. (ICASSP, 2012)

Hallucinated n-best lists for discriminative language modeling. - Kenji Sagae; Maider Lehr; Emily Tucker Prud'hommeaux; Puyang Xu; Nathan Glenn; Damianos G. Karakos; Sanjeev Khudanpur; Brian Roark; Murat Saraclar; Izhak Shafran; Daniel M. Bikel; Chris Callison-Burch; et al. (ICASSP, 2012)

Continuous space discriminative language modeling. - Puyang Xu; Sanjeev Khudanpur; Maider Lehr; Emily Tucker Prud'hommeaux; Nathan Glenn; Damianos G. Karakos; Brian Roark; Kenji Sagae; Murat Saraclar; Izhak Shafran; Daniel M. Bikel; Chris Callison-Burch; et al. (ICASSP, 2012)

Deriving conversation-based features from unlabeled speech for discriminative language modeling. - Damianos G. Karakos; Brian Roark; Izhak Shafran; Kenji Sagae; Maider Lehr; Emily Tucker Prud'hommeaux; Puyang Xu; Nathan Glenn; Sanjeev Khudanpur; Murat Saraclar; Daniel M. Bikel; Mark Dredze; et al. (INTERSPEECH, 2012)

Phrasal Cohort Based Unsupervised Discriminative Language Modeling. - Puyang Xu; Brian Roark; Sanjeev Khudanpur (INTERSPEECH, 2012)

Hallucinating system outputs for discriminative language modeling. - Brian Roark; Arda Çelebi; Erinç Dikici; Sanjeev Khudanpur; Maider Lehr; Emily Prud'hommeaux; Kenji Sagae; Murat Saraclar; Izhak Shafran; Puyang Xu (MLSLP, 2012)

Convolutional neural network based triangular CRF for joint intent detection and slot filling. - Puyang Xu; Ruhi Sarikaya (ASRU, 2013)

Exploiting shared information for multi-intent natural language sentence classification. - Puyang Xu; Ruhi Sarikaya (INTERSPEECH, 2013)

Contextual domain classification in spoken language understanding systems using recurrent neural network. - Puyang Xu; Ruhi Sarikaya (ICASSP, 2014)

Hypotheses ranking for robust domain classification and tracking in dialogue systems. - Jean-Philippe Robichaud; Paul A. Crook; Puyang Xu; Omar Zia Khan; Ruhi Sarikaya (INTERSPEECH, 2014)

Targeted feature dropout for robust slot filling in natural language understanding. - Puyang Xu; Ruhi Sarikaya (INTERSPEECH, 2014)

Deep contextual language understanding in spoken dialogue systems. - Chunxi Liu; Puyang Xu; Ruhi Sarikaya (INTERSPEECH, 2015)

An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking. - Puyang Xu; Qi Hu (ACL (1), 2018)

Open World Classification with Adaptive Negative Samples. - Ke Bai 001; Guoyin Wang 002; Jiwei Li 001; Sunghyun Park; Sungjin Lee; Puyang Xu; Ricardo Henao; Lawrence Carin (EMNLP, 2022)

Ranking-Enhanced Unsupervised Sentence Representation Learning. - Yeon Seonwoo; Guoyin Wang 002; Changmin Seo; Sajal Choudhary; Jiwei Li 001; Xiang Li; Puyang Xu; Sunghyun Park; Alice Oh (ACL (1), 2023)

Planning and Editing What You Retrieve for Enhanced Tool Learning. - Tenghao Huang; Dongwon Jung; Vaibhav Kumar; Mohammad Kachuee; Xiang Li 069; Puyang Xu; Muhao Chen 001 (NAACL-HLT (Findings), 2024)

Improving Tool Retrieval by Leveraging Large Language Models for Query Generation. - Mohammad Kachuee; Sarthak Ahuja; Vaibhav Kumar; Puyang Xu; Xiaohu Liu (COLING (Industry), 2025)

WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning. - Zhepei Wei; Wenlin Yao; Yao Liu; Weizhi Zhang; Qin Lu; Liang Qiu; Changlong Yu; Puyang Xu; Chao Zhang; Bing Yin; Hyokun Yun; Lihong Li (CoRR, 2025)