Model-based statistical sensor fusion for unexploded ordnance detection. - Leslie M. Collins; Yizhe Zhang 002; Lawrence Carin (IGARSS, 2002)

Learning a Hybrid Architecture for Sequence Regression and Annotation. - Yizhe Zhang 002; Ricardo Henao; Lawrence Carin; Jianling Zhong; Alexander J. Hartemink (AAAI, 2016)

Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis. - Kai Fan 002; Yizhe Zhang 002; Ricardo Henao; Katherine A. Heller (ICDM, 2016)

Dynamic Poisson Factor Analysis. - Yizhe Zhang 002; Yue Zhao; Lawrence David; Ricardo Henao; Lawrence Carin (ICDM, 2016)

Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks. - Yizhe Zhang 002; Ricardo Henao; Chunyuan Li; Lawrence Carin (IJCAI, 2016)

Stochastic Gradient MCMC with Stale Gradients. - Changyou Chen; Nan Ding 002; Chunyuan Li; Yizhe Zhang 002; Lawrence Carin (NIPS, 2016)

Towards Unifying Hamiltonian Monte Carlo and Slice Sampling. - Yizhe Zhang 002; Xiangyu Wang 006; Changyou Chen; Ricardo Henao; Kai Fan 002; Lawrence Carin (NIPS, 2016)

Laplacian Hamiltonian Monte Carlo. - Yizhe Zhang 002; Changyou Chen; Ricardo Henao; Lawrence Carin (ECML/PKDD (1), 2016)

Stochastic Gradient Monomial Gamma Sampler. - Yizhe Zhang 002; Changyou Chen; Zhe Gan; Ricardo Henao; Lawrence Carin (ICML, 2017)

Adversarial Feature Matching for Text Generation. - Yizhe Zhang 002; Zhe Gan; Kai Fan 002; Zhi Chen 009; Ricardo Henao; Dinghan Shen; Lawrence Carin (ICML, 2017)

Triangle Generative Adversarial Networks. - Zhe Gan; Liqun Chen 001; Weiyao Wang 002; Yunchen Pu; Yizhe Zhang 002; Hao Liu 015; Chunyuan Li; Lawrence Carin (NIPS, 2017)

Deconvolutional Paragraph Representation Learning. - Yizhe Zhang 002; Dinghan Shen; Guoyin Wang 002; Zhe Gan; Ricardo Henao; Lawrence Carin (NIPS, 2017)

Deconvolutional Latent-Variable Model for Text Sequence Matching. - Dinghan Shen; Yizhe Zhang 002; Ricardo Henao; Qinliang Su; Lawrence Carin (AAAI, 2018)

Zero-Shot Learning via Class-Conditioned Deep Generative Models. - Wenlin Wang; Yunchen Pu; Vinay Kumar Verma; Kai Fan 002; Yizhe Zhang 002; Changyou Chen; Piyush Rai; Lawrence Carin (AAAI, 2018)

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. - Dinghan Shen; Guoyin Wang 002; Wenlin Wang; Martin Renqiang Min; Qinliang Su; Yizhe Zhang 002; Chunyuan Li; Ricardo Henao; Lawrence Carin (ACL (1), 2018)

Joint Embedding of Words and Labels for Text Classification. - Guoyin Wang 002; Chunyuan Li; Wenlin Wang; Yizhe Zhang 002; Dinghan Shen; Xinyuan Zhang 001; Ricardo Henao; Lawrence Carin (ACL (1), 2018)

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. - Yunchen Pu; Shuyang Dai; Zhe Gan; Weiyao Wang 002; Guoyin Wang 002; Yizhe Zhang 002; Ricardo Henao; Lawrence Carin (ICML, 2018)

Adversarial Text Generation via Feature-Mover's Distance. - Liqun Chen 001; Shuyang Dai; Chenyang Tao; Haichao Zhang; Zhe Gan; Dinghan Shen; Yizhe Zhang 002; Guoyin Wang 002; Ruiyi Zhang 002; Lawrence Carin (NeurIPS, 2018)

Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization. - Yizhe Zhang 002; Michel Galley; Jianfeng Gao 001; Zhe Gan; Xiujun Li; Chris Brockett; Bill Dolan (NeurIPS, 2018)

Adversarial Text Generation via Feature-Mover's Distance. - Liqun Chen 001; Shuyang Dai; Chenyang Tao; Dinghan Shen; Zhe Gan; Haichao Zhang; Yizhe Zhang 002; Lawrence Carin (CoRR, 2018)

A bird's-eye view on coherence, and a worm's-eye view on cohesion. - Woon Sang Cho; Pengchuan Zhang; Yizhe Zhang 002; Xiujun Li; Michel Galley; Mengdi Wang; Jianfeng Gao 001 (CoRR, 2018)

Improving Textual Network Embedding with Global Attention via Optimal Transport. - Liqun Chen 001; Guoyin Wang 002; Chenyang Tao; Dinghan Shen; Pengyu Cheng; Xinyuan Zhang 001; Wenlin Wang; Yizhe Zhang 002; Lawrence Carin (ACL (1), 2019)

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. - Dinghan Shen; Asli Celikyilmaz; Yizhe Zhang 002; Liqun Chen 001; Xin Wang 061; Jianfeng Gao 001; Lawrence Carin (ACL (1), 2019)

Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling. - Vighnesh Leonardo Shiv; Chris Quirk; Anshuman Suri; Xiang Gao 011; Khuram Shahid; Nithya Govindarajan; Yizhe Zhang 002; Jianfeng Gao 001; Michel Galley; Chris Brockett; Tulasi Menon; Bill Dolan (ACL (3), 2019)

Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models. - Woon Sang Cho; Yizhe Zhang 002; Sudha Rao; Chris Brockett; Sungjin Lee (NGT@EMNLP-IJCNLP, 2019)

Structuring Latent Spaces for Stylized Response Generation. - Xiang Gao 011; Yizhe Zhang 002; Sungjin Lee; Michel Galley; Chris Brockett; Jianfeng Gao 001; Bill Dolan (EMNLP/IJCNLP (1), 2019)

Domain Adaptive Text Style Transfer. - Dianqi Li; Yizhe Zhang 002; Zhe Gan; Yu Cheng 001; Chris Brockett; Bill Dolan; Ming-Ting Sun (EMNLP/IJCNLP (1), 2019)

Improving Sequence-to-Sequence Learning via Optimal Transport. - Liqun Chen 001; Yizhe Zhang 002; Ruiyi Zhang 002; Chenyang Tao; Zhe Gan; Haichao Zhang; Bai Li 001; Dinghan Shen; Changyou Chen; Lawrence Carin (ICLR (Poster), 2019)

Jointly Optimizing Diversity and Relevance in Neural Response Generation. - Xiang Gao 011; Sungjin Lee; Yizhe Zhang 002; Chris Brockett; Michel Galley; Jianfeng Gao 001; Bill Dolan (NAACL-HLT (1), 2019)

Unsupervised Dialogue Spectrum Generation for Log Dialogue Ranking. - Xinnuo Xu; Yizhe Zhang 002; Lars Liden; Sungjin Lee (SIGdial, 2019)

A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC. - Changyou Chen; Wenlin Wang; Yizhe Zhang 002; Qinliang Su; Lawrence Carin (Sci. China Inf. Sci., 2019)

Consistent Dialogue Generation with Self-supervised Feature Learning. - Yizhe Zhang 002; Xiang Gao 011; Sungjin Lee; Chris Brockett; Michel Galley; Jianfeng Gao 001; Bill Dolan (CoRR, 2019)

Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator. - Woon Sang Cho; Yizhe Zhang 002; Sudha Rao; Asli Celikyilmaz; Chenyan Xiong; Jianfeng Gao 001; Mengdi Wang; Bill Dolan (CoRR, 2019)

INSET: Sentence Infilling with Inter-sentential Generative Pre-training. - Yichen Huang; Yizhe Zhang 002; Oussama Elachqar; Yu Cheng 001 (CoRR, 2019)

Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. - Liqun Chen 001; Ke Bai 001; Chenyang Tao; Yizhe Zhang 002; Guoyin Wang 002; Wenlin Wang; Ricardo Henao; Lawrence Carin (AAAI, 2020)

Complementary Auxiliary Classifiers for Label-Conditional Text Generation. - Yuan Li 032; Chunyuan Li; Yizhe Zhang 002; Xiujun Li; Guoqing Zheng; Lawrence Carin; Jianfeng Gao 001 (AAAI, 2020)

Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. - Shuyang Dai; Yu Cheng 001; Yizhe Zhang 002; Zhe Gan; Jingjing Liu 001; Lawrence Carin (ACCV (4), 2020)

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. - Pengyu Cheng; Martin Renqiang Min; Dinghan Shen; Christopher Malon; Yizhe Zhang 002; Yitong Li 001; Lawrence Carin (ACL, 2020)

INSET: Sentence Infilling with INter-SEntential Transformer. - Yichen Huang; Yizhe Zhang 002; Oussama Elachqar; Yu Cheng 001 (ACL, 2020)

DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation. - Yizhe Zhang 002; Siqi Sun; Michel Galley; Yen-Chun Chen 001; Chris Brockett; Xiang Gao 011; Jianfeng Gao 001; Jingjing Liu 001; Bill Dolan (ACL (demo), 2020)

Advancing weakly supervised cross-domain alignment with optimal transport. - Siyang Yuan; Ke Bai 001; Liqun Chen 001; Yizhe Zhang 002; Chenyang Tao; Chunyuan Li; Guoyin Wang 002; Ricardo Henao; Lawrence Carin (BMVC, 2020)

Contextual Text Style Transfer. - Yu Cheng 001; Zhe Gan; Yizhe Zhang 002; Oussama Elachqar; Dianqi Li; Jingjing Liu 001 (EMNLP (Findings), 2020)

Dialogue Response Ranking Training with Large-Scale Human Feedback Data. - Xiang Gao 011; Yizhe Zhang 002; Michel Galley; Chris Brockett; Bill Dolan (EMNLP (1), 2020)

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. - Chunyuan Li; Xiang Gao 011; Yuan Li 032; Baolin Peng; Xiujun Li; Yizhe Zhang 002; Jianfeng Gao 001 (EMNLP (1), 2020)

Improving Text Generation with Student-Forcing Optimal Transport. - Jianqiao Li; Chunyuan Li; Guoyin Wang 002; Hao Fu 002; Yuh-Chen Lin; Liqun Chen 001; Yizhe Zhang 002; Chenyang Tao; Ruiyi Zhang 002; Wenlin Wang; Dinghan Shen; Qian Yang 003; et al. (EMNLP (1), 2020)

POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training. - Yizhe Zhang 002; Guoyin Wang 002; Chunyuan Li; Zhe Gan; Chris Brockett; Bill Dolan (EMNLP (1), 2020)

Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation. - Xinjie Fan; Yizhe Zhang 002; Zhendong Wang; Mingyuan Zhou (ICLR, 2020)

Datasets and Benchmarks for Task-Oriented Log Dialogue Ranking Task. - Xinnuo Xu; Yizhe Zhang 002; Lars Liden; Sungjin Lee (INTERSPEECH, 2020)

Contextual Re-Ranking with Behavior Aware Transformers. - Chen Qu 001; Chenyan Xiong; Yizhe Zhang 002; Corby Rosset; W. Bruce Croft; Paul N. Bennett (SIGIR, 2020)

POINTER: Constrained Text Generation via Insertion-based Generative Pre-training. - Yizhe Zhang 002; Guoyin Wang 002; Chunyuan Li; Zhe Gan; Chris Brockett; Bill Dolan (CoRR, 2020)

Weakly supervised cross-domain alignment with optimal transport. - Siyang Yuan; Ke Bai 001; Liqun Chen 001; Yizhe Zhang 002; Chenyang Tao; Chunyuan Li; Guoyin Wang 002; Ricardo Henao; Lawrence Carin (CoRR, 2020)

Narrative Incoherence Detection. - Deng Cai 002; Yizhe Zhang 002; Yichen Huang; Wai Lam; Bill Dolan (CoRR, 2020)

Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. - Ramakanth Pasunuru; Asli Celikyilmaz; Michel Galley; Chenyan Xiong; Yizhe Zhang 002; Mohit Bansal; Jianfeng Gao 001 (AAAI, 2021)

A Controllable Model of Grounded Response Generation. - Zeqiu Wu; Michel Galley; Chris Brockett; Yizhe Zhang 002; Xiang Gao 011; Chris Quirk; Rik Koncel-Kedziorski; Jianfeng Gao 001; Hannaneh Hajishirzi; Mari Ostendorf; Bill Dolan (AAAI, 2021)

Automatic Document Sketching: Generating Drafts from Analogous Texts. - Zeqiu Wu; Michel Galley; Chris Brockett; Yizhe Zhang 002; Bill Dolan (ACL/IJCNLP (Findings), 2021)

Contrastive Multi-document Question Generation. - Woon Sang Cho; Yizhe Zhang 002; Sudha Rao; Asli Celikyilmaz; Chenyan Xiong; Jianfeng Gao 001; Mengdi Wang; Bill Dolan (EACL, 2021)

Finetuning Pretrained Transformers into RNNs. - Jungo Kasai; Hao Peng 009; Yizhe Zhang 002; Dani Yogatama; Gabriel Ilharco; Nikolaos Pappas 002; Yi Mao; Weizhu Chen; Noah A. Smith (EMNLP (1), 2021)

Contextualized Perturbation for Textual Adversarial Attack. - Dianqi Li; Yizhe Zhang 002; Hao Peng 009; Liqun Chen 001; Chris Brockett; Ming-Ting Sun; Bill Dolan (NAACL-HLT, 2021)

SDA: Improving Text Generation with Self Data Augmentation. - Ping Yu; Ruiyi Zhang 002; Yang Zhao; Yizhe Zhang 002; Chunyuan Li; Changyou Chen (CoRR, 2021)

An Adversarially-Learned Turing Test for Dialog Generation Models. - Xiang Gao 011; Yizhe Zhang 002; Michel Galley; Bill Dolan (CoRR, 2021)

Joint Retrieval and Generation Training for Grounded Text Generation. - Yizhe Zhang 002; Siqi Sun; Xiang Gao 011; Yuwei Fang; Chris Brockett; Michel Galley; Jianfeng Gao 001; Bill Dolan (CoRR, 2021)

RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling. - Yizhe Zhang 002; Siqi Sun; Xiang Gao 011; Yuwei Fang; Chris Brockett; Michel Galley; Jianfeng Gao 001; Bill Dolan (AAAI, 2022)

What Makes Good In-Context Examples for GPT-3? - Jiachang Liu 001; Dinghan Shen; Yizhe Zhang 002; Bill Dolan; Lawrence Carin; Weizhu Chen (DeeLIO@ACL, 2022)

A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. - Tianyu Liu 001; Yizhe Zhang 002; Chris Brockett; Yi Mao; Zhifang Sui; Weizhu Chen; Bill Dolan (ACL (1), 2022)

Bridging the Training-Inference Gap for Dense Phrase Retrieval. - Gyuwan Kim; Jinhyuk Lee; Barlas Oguz; Wenhan Xiong; Yizhe Zhang 002; Yashar Mehdad; William Yang Wang (EMNLP (Findings), 2022)

Linearizing Transformer with Key-Value Memory. - Yizhe Zhang 002; Deng Cai 002 (EMNLP, 2022)

Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges. - Shikib Mehri; Jinho Choi; Luis Fernando D'Haro; Jan Deriu; Maxine Eskénazi; Milica Gasic; Kallirroi Georgila; Dilek Hakkani-Tur; Zekang Li; Verena Rieser; Samira Shaikh; David R. Traum; et al. (CoRR, 2022)

Linearizing Transformer with Key-Value Memory Bank. - Yizhe Zhang 002; Deng Cai 002 (CoRR, 2022)

Towards More Efficient Insertion Transformer with Fractional Positional Encoding. - Zhisong Zhang; Yizhe Zhang 002; Bill Dolan (EACL, 2023)

Interactive Text Generation. - Felix Faltings; Michel Galley; Kianté Brantley; Baolin Peng; Weixin Cai; Yizhe Zhang 002; Jianfeng Gao 001; Bill Dolan (EMNLP, 2023)

f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. - Jiatao Gu; Shuangfei Zhai; Yizhe Zhang 002; Miguel Ángel Bautista 001; Joshua M. Susskind (ICLR, 2023)

Stabilizing Transformer Training by Preventing Attention Entropy Collapse. - Shuangfei Zhai; Tatiana Likhomanenko; Etai Littwin; Dan Busbridge; Jason Ramapuram; Yizhe Zhang 002; Jiatao Gu; Joshua M. Susskind (ICML, 2023)

PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. - Yizhe Zhang 002; Jiatao Gu; Zhuofeng Wu 001; Shuangfei Zhai; Joshua M. Susskind; Navdeep Jaitly (NeurIPS, 2023)

BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping. - Jiatao Gu; Shuangfei Zhai; Yizhe Zhang 002; Lingjie Liu; Josh M. Susskind (CoRR, 2023)

The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs. - Yizhe Zhang 002; Jiarui Lu; Navdeep Jaitly (CoRR, 2023)

KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know. - Shangshang Zheng; He Bai 002; Yizhe Zhang 002; Yi Su; Xiaochuan Niu; Navdeep Jaitly (CoRR, 2023)

Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games. - Yizhe Zhang 002; Jiarui Lu; Navdeep Jaitly (ACL (1), 2024)

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. - Pratyush Maini; Skyler Seto; Richard He Bai; David Grangier; Yizhe Zhang 002; Navdeep Jaitly (ACL (1), 2024)

Divide-or-Conquer? Which Part Should You Distill Your LLM? - Zhuofeng Wu 001; Richard He Bai; Aonan Zhang; Jiatao Gu; V. G. Vinod Vydiswaran; Navdeep Jaitly; Yizhe Zhang 002 (EMNLP (Findings), 2024)

Matryoshka Diffusion Models. - Jiatao Gu; Shuangfei Zhai; Yizhe Zhang 002; Joshua M. Susskind; Navdeep Jaitly (ICLR, 2024)

Data-free Distillation of Diffusion Models with Bootstrapping. - Jiatao Gu; Chen Wang 049; Shuangfei Zhai; Yizhe Zhang 002; Lingjie Liu; Joshua M. Susskind (ICML, 2024)

Executable Code Actions Elicit Better LLM Agents. - Xingyao Wang 002; Yangyi Chen; Lifan Yuan; Yizhe Zhang 002; Yunzhu Li; Hao Peng 009; Heng Ji 001 (ICML, 2024)

Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling. - Jiatao Gu; Ying Shen 006; Shuangfei Zhai; Yizhe Zhang 002; Navdeep Jaitly; Joshua M. Susskind (NeurIPS, 2024)

How Far Are We from Intelligent Visual Deductive Reasoning? - Yizhe Zhang 002; He Bai 002; Ruixiang Zhang; Jiatao Gu; Shuangfei Zhai; Josh M. Susskind; Navdeep Jaitly (CoRR, 2024)

Many-to-many Image Generation with Auto-regressive Diffusion Models. - Ying Shen 006; Yizhe Zhang 002; Shuangfei Zhai; Lifu Huang; Joshua M. Susskind; Jiatao Gu (CoRR, 2024)

OpenDevin: An Open Platform for AI Software Developers as Generalist Agents. - Xingyao Wang 002; Boxuan Li; Yufan Song; Frank F. Xu; Xiangru Tang; Mingchen Zhuge; Jiayi Pan; Yueqi Song; Bowen Li 002; Jaskirat Singh; Hoang H. Tran; Fuqiang Li; et al. (CoRR, 2024)

ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities. - Jiarui Lu; Thomas Holleis; Yizhe Zhang 002; Bernhard Aumayer; Feng Nan; Felix Bai; Shuang Ma; Shen Ma; Mengyu Li; Guoli Yin; Zirui Wang; Ruoming Pang (CoRR, 2024)

DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation. - Jiatao Gu; Yuyang Wang; Yizhe Zhang 002; Qihang Zhang; Dinghuai Zhang; Navdeep Jaitly; Josh M. Susskind; Shuangfei Zhai (CoRR, 2024)

TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models. - Georgia Gabriela Sampaio; Ruixiang Zhang; Shuangfei Zhai; Jiatao Gu; Josh M. Susskind; Navdeep Jaitly; Yizhe Zhang 002 (CoRR, 2024)

Training Software Engineering Agents and Verifiers with SWE-Gym. - Jiayi Pan; Xingyao Wang 002; Graham Neubig; Navdeep Jaitly; Heng Ji 001; Alane Suhr; Yizhe Zhang 002 (CoRR, 2024)

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models. - Yifu Qiu; Varun R. Embar; Yizhe Zhang 002; Navdeep Jaitly; Shay B. Cohen; Benjamin Han (ACL (Findings), 2025)

OpenHands: An Open Platform for AI Software Developers as Generalist Agents. - Xingyao Wang 002; Boxuan Li; Yufan Song; Frank F. Xu; Xiangru Tang; Mingchen Zhuge; Jiayi Pan; Yueqi Song; Bowen Li 002; Jaskirat Singh; Hoang H. Tran; Fuqiang Li; et al. (ICLR, 2025)

Scaling Diffusion Language Models via Adaptation from Autoregressive Models. - Shansan Gong; Shivam Agarwal; Yizhe Zhang 002; Jiacheng Ye; Lin Zheng; Mukai Li; Chenxin An; Peilin Zhao; Wei Bi; Jiawei Han 001; Hao Peng 009; Lingpeng Kong (ICLR, 2025)

Denoising Autoregressive Transformers for Scalable Text-to-Image Generation. - Jiatao Gu; Yuyang Wang; Yizhe Zhang 002; Qihang Zhang; Dinghuai Zhang; Navdeep Jaitly; Joshua M. Susskind; Shuangfei Zhai (ICLR, 2025)

ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities. - Jiarui Lu; Thomas Holleis; Yizhe Zhang 002; Bernhard Aumayer; Feng Nan; Haoping Bai; Shuang Ma; Shen Ma; Mengyu Li; Guoli Yin; Zirui Wang; Ruoming Pang (NAACL (Findings), 2025)

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. - Guoli Yin; Haoping Bai; Shuang Ma; Feng Nan; Yanchao Sun; Zhaoyang Xu; Shen Ma; Jiarui Lu; Xiang Kong; Aonan Zhang; Dian Ang Yap; Yizhe Zhang 002; et al. (NAACL (Findings), 2025)

Improving GFlowNets for Text-to-Image Diffusion Alignment. - Dinghuai Zhang; Yizhe Zhang 002; Jiatao Gu; Ruixiang Zhang; Joshua M. Susskind; Navdeep Jaitly; Shuangfei Zhai (Trans. Mach. Learn. Res., 2025)

Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions. - Yizhe Zhang 002; Richard He Bai; Zijin Gu; Ruixiang Zhang; Jiatao Gu; Emmanuel Abbe; Samy Bengio; Navdeep Jaitly (CoRR, 2025)

SAGE: Steering and Refining Dialog Generation with State-Action Augmentation. - Yizhe Zhang 002; Navdeep Jaitly (CoRR, 2025)

Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. - Ruixiang Zhang; Shuangfei Zhai; Yizhe Zhang 002; James Thornton; Zijing Ou; Joshua M. Susskind; Navdeep Jaitly (CoRR, 2025)

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation. - Shansan Gong; Ruixiang Zhang; Huangjie Zheng; Jiatao Gu; Navdeep Jaitly; Lingpeng Kong; Yizhe Zhang 002 (CoRR, 2025)

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows. - Ruixiang Zhang; Shuangfei Zhai; Jiatao Gu; Yizhe Zhang 002; Huangjie Zheng; Tianrong Chen; Miguel Ángel Bautista 001; Joshua M. Susskind; Navdeep Jaitly (CoRR, 2025)