Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis. - Zhijian Ou; Yang Zhang 001 (AISTATS, 2012)

Improvement of Probabilistic Acoustic Tube model for speech decomposition. - Yang Zhang 001; Zhijian Ou; Mark Hasegawa-Johnson (ICASSP, 2014)

An iterative approach to decision tree training for context dependent speech synthesis. - Xiayu Chen; Yang Zhang 001; Mark Hasegawa-Johnson (INTERSPEECH, 2014)

Multichannel transient acoustic signal classification using task-driven dictionary with joint sparsity and beamforming. - Yang Zhang 001; Nasser M. Nasrabadi; Mark Hasegawa-Johnson (ICASSP, 2015)

Incorporating AM-FM effect in voiced speech for probabilistic acoustic tube model. - Yang Zhang 001; Zhijian Ou; Mark Hasegawa-Johnson (WASPAA, 2015)

Positive-Unlabeled Learning in Streaming Networks. - Shiyu Chang; Yang Zhang 001; Jiliang Tang; Dawei Yin; Yi Chang 001; Mark A. Hasegawa-Johnson; Thomas S. Huang (KDD, 2016)

Use of particle filtering and MCMC for inference in Probabilistic Acoustic Tube model. - Ruobai Wang; Yang Zhang 001; Zhijian Ou; Mark Hasegawa-Johnson (SSP, 2016)

Fast Wavenet Generation Algorithm. - Tom Le Paine; Pooya Khorrami; Shiyu Chang; Yang Zhang 001; Prajit Ramachandran; Mark A. Hasegawa-Johnson; Thomas S. Huang (CoRR, 2016)

Using Computer Agents to Explain Clinical Test Results. - Renato Ferreira Leitão Azevedo; Kuangxiao Gu; Yang Zhang 001; Victor Sadauskas; Tarek Sakakini; Daniel G. Morrow; Mark Hasegawa-Johnson; Thomas S. Huang; Suma Bhat; Ann Willemsen-Dunlap; Donald J. Halpin; James F. Graumlich; et al. (AMIA, 2017)

Dr. Babel Fish: A Machine Translator to Simplify Providers' Language. - Tarek Sakakini; Renato Ferreira Leitão Azevedo; Victor Sadauskas; Kuangxiao Gu; Yang Zhang 001; Suma Bhat; Daniel G. Morrow; Mark Hasegawa-Johnson; Thomas S. Huang; Ann M. Willemsen-Dunlap; Donald J. Halpin; James F. Graumlich (AMIA, 2017)

Fast Generation for Convolutional Autoregressive Models. - Prajit Ramachandran; Tom Le Paine; Pooya Khorrami; Mohammad Babaeizadeh; Shiyu Chang; Yang Zhang 001; Mark A. Hasegawa-Johnson; Roy H. Campbell; Thomas S. Huang (ICLR (Workshop), 2017)

Speech Enhancement Using Bayesian Wavenet. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Xuesong Yang; Dinei Florêncio; Mark Hasegawa-Johnson (INTERSPEECH, 2017)

Glottal Model Based Speech Beamforming for ad-hoc Microphone Arrays. - Yang Zhang 001; Dinei Florêncio; Mark Hasegawa-Johnson (INTERSPEECH, 2017)

Dilated Recurrent Neural Networks. - Shiyu Chang; Yang Zhang 001; Wei Han 002; Mo Yu; Xiaoxiao Guo; Wei Tan 001; Xiaodong Cui; Michael Witbrock; Mark A. Hasegawa-Johnson; Thomas S. Huang (NIPS, 2017)

Streaming Recommender Systems. - Shiyu Chang; Yang Zhang 001; Jiliang Tang; Dawei Yin; Yi Chang 001; Mark A. Hasegawa-Johnson; Thomas S. Huang (WWW, 2017)

A multidisciplinary approach to designing and evaluating Electronic Medical Record portal messages that support patient self-care. - Daniel G. Morrow; Mark Hasegawa-Johnson; Thomas S. Huang; William Schuh; Renato Ferreira Leitão Azevedo; Kuangxiao Gu; Yang Zhang 001; Bidisha Roy; Rocío García-Retamero (J. Biomed. Informatics, 2017)

Application of generative models in speech processing tasks - Yang Zhang 001 (2017)

Geometry-Aware Traffic Flow Analysis by Detection and Tracking. - Honghui Shi; Zhonghao Wang 001; Yang Zhang 001; Xinchao Wang; Thomas S. Huang (CVPR Workshops, 2018)

Deep Learning Based Speech Beamforming. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Xuesong Yang; Dinei A. F. Florêncio; Mark Hasegawa-Johnson (ICASSP, 2018)

Grounding Spoken Words in Unlabeled Video. - Angie W. Boggust; Kartik Audhkhasi; Dhiraj Joshi; David Harwath; Samuel Thomas 001; Rogério Schmidt Feris; Danny Gutfreund; Yang Zhang 001; Antonio Torralba 001; Michael Picheny; James R. Glass (CVPR Workshops, 2019)

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. - Mo Yu; Shiyu Chang; Yang Zhang 001; Tommi S. Jaakkola (EMNLP/IJCNLP (1), 2019)

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Xuesong Yang; Mark Hasegawa-Johnson (ICML, 2019)

A Game Theoretic Approach to Class-wise Selective Rationalization. - Shiyu Chang; Yang Zhang 001; Mo Yu; Tommi S. Jaakkola (NeurIPS, 2019)

Zero-Shot Voice Style Transfer with Only Autoencoder Loss. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Xuesong Yang; Mark Hasegawa-Johnson (CoRR, 2019)

An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack. - Yang Zhang 001; Shiyu Chang; Mo Yu; Kaizhi Qian (CoRR, 2019)

Invariant Rationalization. - Shiyu Chang; Yang Zhang 001; Mo Yu; Tommi S. Jaakkola (ICML, 2020)

Unsupervised Speech Decomposition via Triple Information Bottleneck. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Mark Hasegawa-Johnson; David D. Cox (ICML, 2020)

The Lottery Ticket Hypothesis for Pre-trained BERT Networks. - Tianlong Chen 001; Jonathan Frankle; Shiyu Chang; Sijia Liu 001; Yang Zhang 001; Zhangyang Wang; Michael Carbin (NeurIPS, 2020)

Deep Network Perceptual Losses for Speech Denoising. - Mark R. Saddler; Andrew Francl; Jenelle Feather; Kaizhi Qian; Yang Zhang 001; Josh H. McDermott (CoRR, 2020)

Generating Visually Aligned Sound From Videos. - Peihao Chen; Yang Zhang 001; Mingkui Tan; Hongdong Xiao; Deng Huang; Chuang Gan 001 (IEEE Trans. Image Process., 2020)

The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models. - Tianlong Chen 001; Jonathan Frankle; Shiyu Chang; Sijia Liu 001; Yang Zhang 001; Michael Carbin; Zhangyang Wang (CVPR, 2021)

Probabilistic framework for modeling event shocks to financial time series. - Yada Zhu; Wenyu Chen 003; Yang Zhang 001; Tian Gao; Jianbo Li (ICAIF, 2021)

Continuous Cnn For Nonuniform Time Series. - Hui Shi; Yang Zhang 001; Hao Wu; Shiyu Chang; Kaizhi Qian; Mark Hasegawa-Johnson; Jishen Zhao (ICASSP, 2021)

SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam. - Yonggan Fu; Yang Zhang 001; Yue Wang 036; Zhihan Lu; Vivek Boominathan; Ashok Veeraraghavan; Yingyan Lin (ICCV, 2021)

Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators. - Yonggan Fu; Yongan Zhang; Yang Zhang 001; David D. Cox; Yingyan Lin (ICML, 2021)

Global Prosody Style Transfer Without Text Transcriptions. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Jinjun Xiong; Chuang Gan 001; David D. Cox; Mark Hasegawa-Johnson (ICML, 2021)

Zero-Shot Cross-Lingual Phonetic Recognition with External Language Embedding. - Heting Gao; Junrui Ni; Yang Zhang 001; Kaizhi Qian; Shiyu Chang; Mark Hasegawa-Johnson (Interspeech, 2021)

Speech Denoising with Auditory Models. - Mark R. Saddler; Andrew Francl; Jenelle Feather; Kaizhi Qian; Yang Zhang 001; Josh H. McDermott (Interspeech, 2021)

Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks. - Yonggan Fu; Qixuan Yu 001; Yang Zhang 001; Shang Wu 003; Xu Ouyang; David D. Cox; Yingyan Lin (NeurIPS, 2021)

PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition. - Cheng-I Jeff Lai; Yang Zhang 001; Alexander H. Liu; Shiyu Chang; Yi-Lun Liao; Yung-Sung Chuang; Kaizhi Qian; Sameer Khurana; David D. Cox; James R. Glass (NeurIPS, 2021)

Understanding Interlocking Dynamics of Cooperative Rationalization. - Mo Yu; Yang Zhang 001; Shiyu Chang; Tommi S. Jaakkola (NeurIPS, 2021)

Global Rhythm Style Transfer Without Text Transcriptions. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Jinjun Xiong; Chuang Gan 001; David D. Cox; Mark Hasegawa-Johnson (CoRR, 2021)

An Adversarial Framework for Generating Unseen Images by Activation Maximization. - Yang Zhang 001; Wang Zhou; Gaoyuan Zhang; David D. Cox; Shiyu Chang (AAAI, 2022)

Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series. - Shibal Ibrahim; Wenyu Chen 003; Yada Zhu; Pin-Yu Chen; Yang Zhang 001; Rahul Mazumder (ICAIF, 2022)

SpeechSplit2.0: Unsupervised Speech Disentanglement for Voice Conversion without Tuning Autoencoder Bottlenecks. - Chak Ho Chan; Kaizhi Qian; Yang Zhang 001; Mark Hasegawa-Johnson (ICASSP, 2022)

On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. - Cheng-I Jeff Lai; Erica Cooper; Yang Zhang 001; Shiyu Chang; Kaizhi Qian; Yi-Lun Liao; Yung-Sung Chuang; Alexander H. Liu; Junichi Yamagishi; David D. Cox; James R. Glass (ICASSP, 2022)

Adversarial Support Alignment. - Shangyuan Tong; Timur Garipov; Yang Zhang 001; Shiyu Chang; Tommi S. Jaakkola (ICLR, 2022)

Linking Emergent and Natural Languages via Corpus Transfer. - Shunyu Yao; Mo Yu; Yang Zhang 001; Karthik R. Narasimhan; Joshua B. Tenenbaum; Chuang Gan 001 (ICLR, 2022)

Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. - Tianlong Chen 001; Zhenyu Zhang 015; Sijia Liu 001; Yang Zhang 001; Shiyu Chang; Zhangyang Wang (ICML, 2022)

ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers. - Kaizhi Qian; Yang Zhang 001; Heting Gao; Junrui Ni; Cheng-I Lai; David D. Cox; Mark Hasegawa-Johnson; Shiyu Chang (ICML, 2022)

WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models. - Heting Gao; Junrui Ni; Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Mark Hasegawa-Johnson (INTERSPEECH, 2022)

Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition. - Junrui Ni; Liming Wang 003; Heting Gao; Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Mark Hasegawa-Johnson (INTERSPEECH, 2022)

DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. - Yung-Sung Chuang; Rumen Dangovski; Hongyin Luo; Yang Zhang 001; Shiyu Chang; Marin Soljacic; Shang-Wen Li 001; Scott Yih; Yoon Kim; James R. Glass (NAACL-HLT, 2022)

Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. - Yonggan Fu; Yang Zhang 001; Kaizhi Qian; Zhifan Ye; Zhongzhi Yu; Cheng-I Jeff Lai; Celine Lin (NeurIPS, 2022)

Fairness Reprogramming. - Guanhua Zhang; Yihua Zhang; Yang Zhang 001; Wenqi Fan; Qing Li 001; Sijia Liu 001; Shiyu Chang (NeurIPS, 2022)

Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials. - Andrew Ma; Yang Zhang 001; Thomas Christensen; Hoi Chun Po; Li Jing 001; Liang Fu; Marin Soljacic (CoRR, 2022)

SpeechSplit 2.0: Unsupervised speech disentanglement for voice conversion Without tuning autoencoder Bottlenecks. - Chak Ho Chan; Kaizhi Qian; Yang Zhang 001; Mark Hasegawa-Johnson (CoRR, 2022)

Improving Self-Supervised Speech Representations by Disentangling Speakers. - Kaizhi Qian; Yang Zhang 001; Heting Gao; Junrui Ni; Cheng-I Lai; David D. Cox; Mark Hasegawa-Johnson; Shiyu Chang (CoRR, 2022)

Barrier functions enable safety-conscious force-feedback control. - Charles Dawson 001; Austin Garrett; Falk Pollok; Yang Zhang 001; Chuchu Fan (CoRR, 2022)

Domain Generalization for Language-Independent Automatic Speech Recognition. - Heting Gao; Junrui Ni; Yang Zhang 001; Kaizhi Qian; Shiyu Chang; Mark Hasegawa-Johnson (Frontiers Artif. Intell., 2022)

Audio-Visual Neural Syntax Acquisition. - Cheng-I Jeff Lai; Freda Shi; Puyuan Peng; Yoon Kim; Kevin Gimpel; Shiyu Chang; Yung-Sung Chuang; Saurabhchand Bhati; David D. Cox; David Harwath; Yang Zhang 001; Karen Livescu; et al. (ASRU, 2023)

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. - Qiucheng Wu; Yujian Liu; Handong Zhao; Ajinkya Kale; Trung Bui; Tong Yu 001; Zhe Lin 001; Yang Zhang 001; Shiyu Chang (CVPR, 2023)

NL2TL: Transforming Natural Languages to Temporal Logics using Large Language Models. - Yongchao Chen; Rujul Gandhi; Yang Zhang 001; Chuchu Fan (EMNLP, 2023)

Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. - Qiucheng Wu; Yujian Liu; Handong Zhao; Trung Bui; Zhe Lin 001; Yang Zhang 001; Shiyu Chang (ICCV, 2023)

TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. - Bairu Hou; Jinghan Jia; Yihua Zhang; Guanhua Zhang; Yang Zhang 001; Sijia Liu 001; Shiyu Chang (ICLR, 2023)

PromptBoosting: Black-Box Text Classification with Ten Forward Passes. - Bairu Hou; Joe O'Connor; Jacob Andreas; Shiyu Chang; Yang Zhang 001 (ICML, 2023)

Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. - Zhongzhi Yu; Yang Zhang 001; Kaizhi Qian; Cheng Wan 005; Yonggan Fu; Yongan Zhang; Yingyan Celine Lin (ICML, 2023)

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. - Guanhua Zhang; Jiabao Ji; Yang Zhang 001; Mo Yu; Tommi S. Jaakkola; Shiyu Chang (ICML, 2023)

AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers. - Yongchao Chen; Jacob Arkin; Yang Zhang 001; Nicholas Roy; Chuchu Fan (CoRR, 2023)

Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. - Zhongzhi Yu; Yang Zhang 001; Kaizhi Qian; Yonggan Fu; Yingyan Lin (CoRR, 2023)

Certified Robustness for Large Language Models with Self-Denoising. - Zhen Zhang; Guanhua Zhang; Bairu Hou; Wenqi Fan; Qing Li 001; Sijia Liu 001; Yang Zhang 001; Shiyu Chang (CoRR, 2023)

Correcting Diffusion Generation Through Resampling. - Yujian Liu; Yang Zhang 001; Tommi S. Jaakkola; Shiyu Chang (CVPR, 2024)

PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling. - Yongchao Chen; Jacob Arkin; Yilun Hao; Yang Zhang 001; Nicholas Roy; Chuchu Fan (EMNLP, 2024)

Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective. - Yujian Liu; Yang Zhang 001; Tommi S. Jaakkola; Shiyu Chang (EMNLP, 2024)

Speech Self-Supervised Learning Using Diffusion Model Synthetic Data. - Heting Gao; Kaizhi Qian; Junrui Ni; Chuang Gan 001; Mark A. Hasegawa-Johnson; Shiyu Chang; Yang Zhang 001 (ICML, 2024)

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. - Bairu Hou; Yujian Liu; Kaizhi Qian; Jacob Andreas; Shiyu Chang; Yang Zhang 001 (ICML, 2024)

AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers. - Yongchao Chen; Jacob Arkin; Charles Dawson 001; Yang Zhang 001; Nicholas Roy; Chuchu Fan (ICRA, 2024)

Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems? - Yongchao Chen; Jacob Arkin; Yang Zhang 001; Nicholas Roy; Chuchu Fan (ICRA, 2024)

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. - Jiabao Ji; Bairu Hou; Zhen Zhang; Guanhua Zhang; Wenqi Fan; Qing Li 001; Yang Zhang 001; Gaowen Liu; Sijia Liu 001; Shiyu Chang (NAACL (Short Papers), 2024)

Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. - Yue Zhou; Yada Zhu; Diego Antognini; Yoon Kim; Yang Zhang 001 (NAACL-HLT, 2024)

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference. - Jiabao Ji; Yujian Liu; Yang Zhang 001; Gaowen Liu; Ramana Kompella; Sijia Liu 001; Shiyu Chang (NeurIPS, 2024)

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. - Yujian Liu; Jiabao Ji; Tong Yu 001; Ryan A. Rossi; Sungchul Kim; Handong Zhao; Ritwik Sinha; Yang Zhang 001; Shiyu Chang (CoRR, 2024)

PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Preference Alignment. - Yongchao Chen; Jacob Arkin; Yilun Hao; Yang Zhang 001; Nicholas Roy; Chuchu Fan (CoRR, 2024)

Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. - Jiabao Ji; Bairu Hou; Alexander Robey; George J. Pappas; Hamed Hassani; Yang Zhang 001; Eric Wong 001; Shiyu Chang (CoRR, 2024)

Large Language Models Can Plan Your Travels Rigorously with Formal Verification Tools. - Yilun Hao; Yongchao Chen; Yang Zhang 001; Chuchu Fan (CoRR, 2024)

A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation. - Bairu Hou; Yang Zhang 001; Jacob Andreas; Shiyu Chang (CoRR, 2024)

Towards Unsupervised Speech Recognition Without Pronunciation Models. - Junrui Ni; Liming Wang 003; Yang Zhang 001; Kaizhi Qian; Heting Gao; Mark Hasegawa-Johnson; Chang D. Yoo (CoRR, 2024)

VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs. - Qiucheng Wu; Handong Zhao; Michael Saxon; Trung Bui; William Yang Wang; Yang Zhang 001; Shiyu Chang (CoRR, 2024)

PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play. - Wei Fang; Yang Zhang 001; Kaizhi Qian; James R. Glass; Yada Zhu (ACL (Findings), 2025)

Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming. - Yilun Hao; Yang Zhang 001; Chuchu Fan (ICLR, 2025)

Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning. - Yujian Liu; Shiyu Chang; Tommi S. Jaakkola; Yang Zhang 001 (ICLR, 2025)

Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools. - Yilun Hao; Yongchao Chen; Yang Zhang 001; Chuchu Fan (NAACL (Long Papers), 2025)

CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance. - Yongchao Chen; Yilun Hao; Yueying Liu; Yang Zhang 001; Chuchu Fan (CoRR, 2025)

Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation. - Yongchao Chen; Yilun Hao; Yang Zhang 001; Chuchu Fan (CoRR, 2025)

ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning. - Bairu Hou; Yang Zhang 001; Jiabao Ji; Yujian Liu; Kaizhi Qian; Jacob Andreas; Shiyu Chang (CoRR, 2025)

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners. - Jiabao Ji; Yongchao Chen; Yang Zhang 001; Ramana Rao Kompella; Chuchu Fan; Gaowen Liu; Shiyu Chang (CoRR, 2025)

R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement Learning. - Yongchao Chen; Yueying Liu; Junwei Zhou; Yilun Hao; Jingquan Wang; Yang Zhang 001; Chuchu Fan (CoRR, 2025)

Steering LLM Thinking with Budget Guidance. - Junyan Li; Wenshuo Zhao; Yang Zhang 001; Chuang Gan 001 (CoRR, 2025)

CommVQ: Commutative Vector Quantization for KV Cache Compression. - Junyan Li; Yang Zhang 001; Muhammad Yusuf Hassan; Talha Chafekar; Tianle Cai; Zhile Ren; Pengsheng Guo; Foroozan Karimzadeh; Colorado Reed; Chong Wang; Chuang Gan 001 (CoRR, 2025)

ProsodyLM: Uncovering the Emerging Prosody Processing Capabilities in Speech Language Models. - Kaizhi Qian; Xulin Fan; Junrui Ni; Slava Shechtman; Mark Hasegawa-Johnson; Chuang Gan 001; Yang Zhang 001 (CoRR, 2025)