LCARS: a location-content-aware recommender system. - Hongzhi Yin; Yizhou Sun; Bin Cui 001; Zhiting Hu; Ling Chen 006 (KDD, 2013)

Community Specific Temporal Topic Discovery from Social Media. - Zhiting Hu; Chong Wang 002; Junjie Yao; Eric P. Xing; Hongzhi Yin; Bin Cui 001 (CoRR, 2013)

User Group Oriented Temporal Dynamics Exploration. - Zhiting Hu; Junjie Yao; Bin Cui 001 (AAAI, 2014)

A temporal context-aware model for user behavior modeling in social media systems. - Hongzhi Yin; Bin Cui 001; Ling Chen 006; Zhiting Hu; Zi Huang (SIGMOD Conference, 2014)

LCARS: A Spatial Item Recommender System. - Hongzhi Yin; Bin Cui 001; Yizhou Sun; Zhiting Hu; Ling Chen 006 (ACM Trans. Inf. Syst., 2014)

Entity Hierarchy Embedding. - Zhiting Hu; Poyao Huang 001; Yuntian Deng; Yingkai Gao; Eric P. Xing (ACL (1), 2015)

Large-scale Distributed Dependent Nonparametric Trees. - Zhiting Hu; Qirong Ho; Avinava Dubey; Eric P. Xing (ICML, 2015)

Community Level Diffusion Extraction. - Zhiting Hu; Junjie Yao; Bin Cui 001; Eric P. Xing (SIGMOD Conference, 2015)

Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines. - Hao Zhang 025; Zhiting Hu; Jinliang Wei; Pengtao Xie; Gunhee Kim; Qirong Ho; Eric P. Xing (CoRR, 2015)

Modeling Location-Based User Rating Profiles for Personalized Recommendation. - Hongzhi Yin; Bin Cui 001; Ling Chen 006; Zhiting Hu; Chengqi Zhang (ACM Trans. Knowl. Discov. Data, 2015)

Dynamic User Modeling in Social Media Systems. - Hongzhi Yin; Bin Cui 001; Ling Chen 006; Zhiting Hu; Xiaofang Zhou 001 (ACM Trans. Inf. Syst., 2015)

Harnessing Deep Neural Networks with Logic Rules. - Zhiting Hu; Xuezhe Ma; Zhengzhong Liu 001; Eduard H. Hovy; Eric P. Xing (ACL (1), 2016)

Learning Concept Taxonomies from Multi-modal Data. - Hao Zhang 025; Zhiting Hu; Yuntian Deng; Mrinmaya Sachan; Zhicheng Yan 001; Eric P. Xing (ACL (1), 2016)

Deep Kernel Learning. - Andrew Gordon Wilson; Zhiting Hu; Ruslan Salakhutdinov; Eric P. Xing (AISTATS, 2016)

Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification. - Yuezhang Li; Ronghuo Zheng; Tian Tian; Zhiting Hu; Rahul Iyer; Katia P. Sycara (COLING, 2016)

Deep Neural Networks with Massive Learned Knowledge. - Zhiting Hu; Zichao Yang; Ruslan Salakhutdinov; Eric P. Xing (EMNLP, 2016)

Discovering interpretable geo-social communities for user behavior prediction. - Hongzhi Yin; Zhiting Hu; Xiaofang Zhou 001; Hao Wang 005; Kai Zheng 001; Nguyen Quoc Viet Hung; Shazia Sadiq (ICDE, 2016)

Grounding Topic Models with Knowledge Bases. - Zhiting Hu; Gang Luo; Mrinmaya Sachan; Eric P. Xing; Zaiqing Nie (IJCAI, 2016)

Structured Knowledge Tracing Models for Student Assessment on Coursera. - Zhuo Wang; Jile Zhu; Xiang Li 065; Zhiting Hu; Ming Zhang 004 (L@S, 2016)

Stochastic Variational Deep Kernel Learning. - Andrew Gordon Wilson; Zhiting Hu; Ruslan Salakhutdinov; Eric P. Xing (NIPS, 2016)

Joint Embeddings of Hierarchical Categories and Entities. - Yuezhang Li; Ronghuo Zheng; Tian Tian; Zhiting Hu; Rahul Iyer; Katia P. Sycara (CoRR, 2016)

Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. - Lianhui Qin; Zhisong Zhang; Hai Zhao; Zhiting Hu; Eric P. Xing (ACL (1), 2017)

Neural Machine Translation with Recurrent Attention Modeling. - Zichao Yang; Zhiting Hu; Yuntian Deng; Chris Dyer; Alexander J. Smola (EACL (2), 2017)

Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning. - Prasoon Goyal; Zhiting Hu; Xiaodan Liang; Chenyu Wang; Eric P. Xing; Carnegie Mellon (ICCV, 2017)

Recurrent Topic-Transition GAN for Visual Paragraph Generation. - Xiaodan Liang; Zhiting Hu; Hao Zhang 025; Chuang Gan 001; Eric P. Xing (ICCV, 2017)

Dropout with Expectation-linear Regularization. - Xuezhe Ma; Yingkai Gao; Zhiting Hu; Yaoliang Yu; Yuntian Deng; Eduard H. Hovy (ICLR (Poster), 2017)

Toward Controlled Generation of Text. - Zhiting Hu; Zichao Yang; Xiaodan Liang; Ruslan Salakhutdinov; Eric P. Xing (ICML, 2017)

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. - Zichao Yang; Zhiting Hu; Ruslan Salakhutdinov; Taylor Berg-Kirkpatrick (ICML, 2017)

Efficient Correlated Topic Modeling with Topic Embedding. - Junxian He; Zhiting Hu; Taylor Berg-Kirkpatrick; Ying Huang; Eric P. Xing (KDD, 2017)

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. - Hao Zhang 025; Zeyu Zheng; Shizhen Xu; Wei Dai 003; Qirong Ho; Xiaodan Liang; Zhiting Hu; Jinliang Wei; Pengtao Xie; Eric P. Xing (USENIX ATC, 2017)

Nonparametric Variational Auto-encoders for Hierarchical Representation Learning. - Prasoon Goyal; Zhiting Hu; Xiaodan Liang; Chenyu Wang; Eric P. Xing (CoRR, 2017)

Controllable Text Generation. - Zhiting Hu; Zichao Yang; Xiaodan Liang; Ruslan Salakhutdinov; Eric P. Xing (CoRR, 2017)

Towards Automated ICD Coding Using Deep Learning. - Haoran Shi 001; Pengtao Xie; Zhiting Hu; Ming Zhang 004; Eric P. Xing (CoRR, 2017)

Learning Scalable Deep Kernels with Recurrent Structure. - Maruan Al-Shedivat; Andrew Gordon Wilson; Yunus Saatchi; Zhiting Hu; Eric P. Xing (J. Mach. Learn. Res., 2017)

Automatic Article Commenting: the Task and Dataset. - Lianhui Qin; Lemao Liu; Victoria Bi; Yan Wang 060; Xiaojiang Liu; Zhiting Hu; Hai Zhao; Shuming Shi 001 (ACL (2), 2018)

On Unifying Deep Generative Models. - Zhiting Hu; Zichao Yang; Ruslan Salakhutdinov; Eric P. Xing (ICLR (Poster), 2018)

Neural Memory Streaming Recommender Networks with Adversarial Training. - Qinyong Wang; Hongzhi Yin; Zhiting Hu; Defu Lian; Hao Wang 005; Zi Huang (KDD, 2018)

Deep Generative Models with Learnable Knowledge Constraints. - Zhiting Hu; Zichao Yang; Ruslan Salakhutdinov; Lianhui Qin; Xiaodan Liang; Haoye Dong; Eric P. Xing (NeurIPS, 2018)

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation. - Yuan Li 032; Xiaodan Liang; Zhiting Hu; Eric P. Xing (NeurIPS, 2018)

Symbolic Graph Reasoning Meets Convolutions. - Xiaodan Liang; Zhiting Hu; Hao Zhang 025; Liang Lin; Eric P. Xing (NeurIPS, 2018)

Unsupervised Text Style Transfer using Language Models as Discriminators. - Zichao Yang; Zhiting Hu; Chris Dyer; Eric P. Xing; Taylor Berg-Kirkpatrick (NeurIPS, 2018)

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation. - Christy Y. Li; Xiaodan Liang; Zhiting Hu; Eric P. Xing (CoRR, 2018)

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. - Zhiting Hu; Haoran Shi 001; Zichao Yang; Bowen Tan; Tiancheng Zhao; Junxian He; Wentao Wang; Xingjiang Yu; Lianhui Qin; Di Wang 030; Xuezhe Ma; Zhengzhong Liu 001; et al. (CoRR, 2018)

AutoLoss: Learning Discrete Schedules for Alternate Optimization. - Haowen Xu; Hao Zhang 025; Zhiting Hu; Xiaodan Liang; Ruslan Salakhutdinov; Eric P. Xing (CoRR, 2018)

Structured Content Preservation for Unsupervised Text Style Transfer. - Youzhi Tian; Zhiting Hu; Zhou Yu (CoRR, 2018)

Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. - Christy Y. Li; Xiaodan Liang; Zhiting Hu; Eric P. Xing (AAAI, 2019)

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. - Zhiting Hu; Haoran Shi 001; Bowen Tan; Wentao Wang; Zichao Yang; Tiancheng Zhao; Junxian He; Lianhui Qin; Di Wang 030; Xuezhe Ma; Zhengzhong Liu 001; Xiaodan Liang; et al. (ACL (3), 2019)

Target-Guided Open-Domain Conversation. - Jianheng Tang; Tiancheng Zhao; Chenyan Xiong; Xiaodan Liang; Eric P. Xing; Zhiting Hu (ACL (1), 2019)

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. - Luchen Liu; Haoran Li 003; Zhiting Hu; Haoran Shi 001; Zichang Wang; Jian Tang 005; Ming Zhang 004 (AMIA, 2019)

Towards Multi-Pose Guided Virtual Try-On Network. - Haoye Dong; Xiaodan Liang; Xiaohui Shen; Bochao Wang; Hanjiang Lai; Jia Zhu 003; Zhiting Hu; Jian Yin 001 (ICCV, 2019)

Connecting the Dots Between MLE and RL for Sequence Generation. - Bowen Tan; Zhiting Hu; Zichao Yang; Ruslan Salakhutdinov; Eric P. Xing (DeepRLStructPred@ICLR, 2019)

AutoLoss: Learning Discrete Schedule for Alternate Optimization. - Haowen Xu; Hao Zhang 025; Zhiting Hu; Xiaodan Liang; Ruslan Salakhutdinov; Eric P. Xing (ICLR (Poster), 2019)

Learning Data Manipulation for Augmentation and Weighting. - Zhiting Hu; Bowen Tan; Ruslan Salakhutdinov; Tom M. Mitchell; Eric P. Xing (NeurIPS, 2019)

Text Infilling. - Wanrong Zhu; Zhiting Hu; Eric P. Xing (CoRR, 2019)

Toward Unsupervised Text Content Manipulation. - Wentao Wang; Zhiting Hu; Zichao Yang; Haoran Shi 001; Frank F. Xu; Eric P. Xing (CoRR, 2019)

Record-to-Text Generation with Style Imitation. - Shuai Lin; Wentao Wang; Zichao Yang; Xiaodan Liang; Frank F. Xu; Eric P. Xing; Zhiting Hu (EMNLP (Findings), 2020)

A Data-Centric Framework for Composable NLP Workflows. - Zhengzhong Liu 001; Guanxiong Ding; Avinash Bukkittu; Mansi Gupta; Pengzhi Gao; Atif Ahmed; Shikun Zhang; Xin Gao 001; Swapnil Singhavi; Linwei Li; Wei Wei; Zecong Hu; et al. (EMNLP (Demos), 2020)

Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. - Bowen Tan; Lianhui Qin; Eric P. Xing; Zhiting Hu (EMNLP (1), 2020)

Learning from All Types of Experiences: A Unifying Machine Learning Perspective. - Zhiting Hu; Eric P. Xing (KDD, 2020)

Improving GAN Training with Probability Ratio Clipping and Sample Reweighting. - Yue Wu; Pan Zhou 002; Andrew Gordon Wilson; Eric P. Xing; Zhiting Hu (NeurIPS, 2020)

Progressive Generation of Long Text. - Bowen Tan; Zichao Yang; Maruan Al-Shedivat; Eric P. Xing; Zhiting Hu (CoRR, 2020)

Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. - Mingkai Deng; Bowen Tan; Zhengzhong Liu 001; Eric P. Xing; Zhiting Hu (EMNLP (1), 2021)

Progressive Generation of Long Text with Pretrained Language Models. - Bowen Tan; Zichao Yang; Maruan Al-Shedivat; Eric P. Xing; Zhiting Hu (NAACL-HLT, 2021)

A Causal Lens for Controllable Text Generation. - Zhiting Hu; Li Erran Li (NeurIPS, 2021)

Text Generation with Efficient (Soft) Q-Learning. - Han Guo; Bowen Tan; Zhengzhong Liu 001; Eric P. Xing; Zhiting Hu (CoRR, 2021)

Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. - Guangyi Liu 005; Zichao Yang; Tianhua Tao; Xiaodan Liang; Zhen Li 026; Bowen Zhou 001; Shuguang Cui; Zhiting Hu (CoRR, 2021)

Panoramic Learning with A Standardized Machine Learning Formalism. - Zhiting Hu; Eric P. Xing (CoRR, 2021)

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. - Mingkai Deng; Jianyu Wang; Cheng-Ping Hsieh; Yihan Wang; Han Guo; Tianmin Shu; Meng Song; Eric P. Xing; Zhiting Hu (EMNLP, 2022)

Efficient (Soft) Q-Learning for Text Generation with Limited Good Data. - Han Guo; Bowen Tan; Zhengzhong Liu 001; Eric P. Xing; Zhiting Hu (EMNLP (Findings), 2022)

ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models. - Jiannan Xiang; Zhengzhong Liu 001; Yucheng Zhou; Eric P. Xing; Zhiting Hu (EMNLP (Findings), 2022)

Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. - Guangyi Liu 005; Zichao Yang; Tianhua Tao; Xiaodan Liang; Junwei Bao 001; Zhen Li 026; Xiaodong He 001; Shuguang Cui; Zhiting Hu (NAACL-HLT, 2022)

Deep Learning for Text Style Transfer: A Survey. - Di Jin; Zhijing Jin 001; Zhiting Hu; Olga Vechtomova; Rada Mihalcea (Comput. Linguistics, 2022)

BertNet: Harvesting Knowledge Graphs from Pretrained Language Models. - Shibo Hao; Bowen Tan; Kaiwen Tang; Hengzhe Zhang; Eric P. Xing; Zhiting Hu (CoRR, 2022)

Composable Text Control Operations in Latent Space with Ordinary Differential Equations. - Guangyi Liu 005; Zeyu Feng; Yuan Gao; Zichao Yang; Xiaodan Liang; Junwei Bao 001; Xiaodong He 001; Shuguang Cui; Zhen Li 026; Zhiting Hu (CoRR, 2022)

elBERto: Self-supervised commonsense learning for question answering. - Xunlin Zhan; Yuan Li 032; Xiao Dong; Xiaodan Liang; Zhiting Hu; Lawrence Carin (Knowl. Based Syst., 2022)

Towards Training AI Agents with All Types of Experiences: A Standardized ML Formalism. - Zhiting Hu (2022)

A Survey of Knowledge-enhanced Text Generation. - Wenhao Yu 002; Chenguang Zhu 001; Zaitang Li; Zhiting Hu; Qingyun Wang 005; Heng Ji 001; Meng Jiang 001 (ACM Comput. Surv., 2022)

BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models. - Shibo Hao; Bowen Tan; Kaiwen Tang; Bin Ni; Xiyan Shao; Hengzhe Zhang; Eric P. Xing; Zhiting Hu (ACL (Findings), 2023)

AlignScore: Evaluating Factual Consistency with A Unified Alignment Function. - Yuheng Zha; Yichi Yang; Ruichen Li; Zhiting Hu (ACL (1), 2023)

Reasoning with Language Model is Planning with World Model. - Shibo Hao; Yi Gu 002; Haodi Ma; Joshua Jiahua Hong; Zhen Wang 041; Daisy Zhe Wang; Zhiting Hu (EMNLP, 2023)

Composable Text Controls in Latent Space with ODEs. - Guangyi Liu 005; Zeyu Feng; Yuan Gao; Zichao Yang; Xiaodan Liang; Junwei Bao 001; Xiaodong He 001; Shuguang Cui; Zhen Li 026; Zhiting Hu (EMNLP, 2023)

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings. - Shibo Hao; Tianyang Liu 003; Zhen Wang 041; Zhiting Hu (NeurIPS, 2023)

Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer. - Bowen Tan; Yun Zhu; Lijuan Liu; Eric P. Xing; Zhiting Hu; Jindong Chen (NeurIPS, 2023)

Language Models Meet World Models: Embodied Experiences Enhance Language Models. - Jiannan Xiang; Tianhua Tao; Yi Gu; Tianmin Shu; Zirui Wang; Zichao Yang; Zhiting Hu (NeurIPS, 2023)

Text Alignment Is An Efficient Unified Model for Massive NLP Tasks. - Yuheng Zha; Yichi Yang; Ruichen Li; Zhiting Hu (NeurIPS, 2023)

Redco: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs. - Bowen Tan; Yun Zhu; Lijuan Liu; Hongyi Wang 001; Yonghao Zhuang 001; Jindong Chen; Eric P. Xing; Zhiting Hu (CoRR, 2023)

Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning. - Zhiting Hu; Tianmin Shu (CoRR, 2023)

LLM360: Towards Fully Transparent Open-Source LLMs. - Zhengzhong Liu 001; Aurick Qiao; Willie Neiswanger; Hongyi Wang 001; Bowen Tan; Tianhua Tao; Junbo Li; Yuqi Wang; Suqi Sun; Omkar Pangarkar; Richard Fan; Yi Gu 002; et al. (CoRR, 2023)

Neural-Symbolic Interaction and Co-Evolving. - Bowen Tan; Shibo Hao; Eric P. Xing; Zhiting Hu (Compendium of Neurosymbolic Artificial Intelligence, 2023)

MMToM-QA: Multimodal Theory of Mind Question Answering. - Chuanyang Jin; Yutong Wu; Jing Cao; Jiannan Xiang; Yen-Ling Kuo; Zhiting Hu; Tomer D. Ullman; Antonio Torralba 001; Joshua B. Tenenbaum; Tianmin Shu (ACL (1), 2024)

UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models. - Xinyu Pi; Mingyuan Wu; Jize Jiang; Haozhen Zheng; Beitong Tian; ChengXiang Zhai; Klara Nahrstedt; Zhiting Hu (EMNLP, 2024)

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models. - Somanshu Singla; Zhen Wang 041; Tianyang Liu 003; Abdullah Ashfaq; Zhiting Hu; Eric P. Xing (EMNLP, 2024)

PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. - Xinyuan Wang 010; Chenxi Li; Zhen Wang 041; Fan Bai 006; Haotian Luo; Jiayou Zhang; Nebojsa Jojic; Eric P. Xing; Zhiting Hu (ICLR, 2024)

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding. - Guangyi Liu 005; Yu Wang 170; Zeyu Feng; Qiyu Wu 001; Liping Tang; Yuan Gao; Zhen Li 026; Shuguang Cui; Julian J. McAuley; Zichao Yang; Eric P. Xing; Zhiting Hu (ICML, 2024)

RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs. - Bowen Tan; Yun Zhu; Lijuan Liu; Hongyi Wang 001; Yonghao Zhuang 001; Jindong Chen; Eric P. Xing; Zhiting Hu (NAACL (Demonstrations), 2024)

Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding. - Guangyi Liu 005; Yu Wang 170; Zeyu Feng; Qiyu Wu 001; Liping Tang; Yuan Gao; Zhen Li 026; Shuguang Cui; Julian J. McAuley; Eric P. Xing; Zichao Yang; Zhiting Hu (CoRR, 2024)

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models. - Shibo Hao; Yi Gu 002; Haotian Luo; Tianyang Liu 003; Xiyan Shao; Xinyuan Wang 010; Shuhua Xie; Haodi Ma; Adithya Samavedhi; Qiyue Gao; Zhen Wang 041; Zhiting Hu (CoRR, 2024)

Pandora: Towards General World Model with Natural Language Actions and Video States. - Jiannan Xiang; Guangyi Liu 005; Yi Gu 002; Qiyue Gao; Yuting Ning; Yuheng Zha; Zeyu Feng; Tianhua Tao; Shibo Hao; Yemin Shi 003; Zhengzhong Liu 001; Eric P. Xing; et al. (CoRR, 2024)

Training Large Language Models to Reason in a Continuous Latent Space. - Shibo Hao; Sainbayar Sukhbaatar; DiJia Su; Xian Li 003; Zhiting Hu; Jason Weston; Yuandong Tian (CoRR, 2024)

Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation. - Qiyue Gao; Xinyu Pi; Kevin Liu; Junrong Chen; Ruolan Yang; Xinqi Huang; Xinyu Fang; Lu Sun; Gautham Kishore; Bo Ai 008; Stone Tao; Mengyang Liu; et al. (ACL (Findings), 2025)

Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs. - Bowen Tan; Zheng Xu; Eric Xing; Zhiting Hu; Shanshan Wu (CoRR, 2025)

Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play. - Yemin Shi 001; Yu Shu; Siwei Dong; Guangyi Liu; Jaward Sesay; Jingwen Li; Zhiting Hu (CoRR, 2025)

Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought. - Hanlin Zhu; Shibo Hao; Zhiting Hu; Jiantao Jiao; Stuart Russell 001; Yuandong Tian (CoRR, 2025)

Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models. - Yanbin Yin; Kun Zhou; Zhen Wang 041; Zhaoxiang Zhang 001; Yifei Shao; Shibo Hao; Yi Gu 002; Jieyuan Liu; Somanshu Singla; Tianyang Liu 003; Eric P. Xing; Zhengzhong Liu 001; et al. (CoRR, 2025)

Towards General Continuous Memory for Vision-Language Models. - Wenyi Wu; Zixuan Song; Kun Zhou; Yifei Shao; Zhiting Hu; Biwei Huang (CoRR, 2025)

Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models. - Zekai Zhao; Qi Liu; Kun Zhou; Zihan Liu; Yifei Shao; Zhiting Hu; Biwei Huang (CoRR, 2025)

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective. - Zhoujun Cheng; Shibo Hao; Tianyang Liu 003; Fan Zhou; Yutao Xie; Feng Yao; Yuexin Bian; Yonghao Zhuang 001; Nilabjo Dey; Yuheng Zha; Yi Gu 002; Kun Zhou; et al. (CoRR, 2025)

Critiques of World Models. - Eric Xing; Mingkai Deng; Jinyu Hou; Zhiting Hu (CoRR, 2025)

SimuRA: Towards General Goal-Oriented Agent via Simulative Reasoning Architecture with LLM-Based World Model. - Mingkai Deng; Jinyu Hou; Yilin Shen; Hongxia Jin; Graham Neubig; Zhiting Hu; Eric P. Xing (CoRR, 2025)

Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation. - Yuheng Zha; Kun Zhou; Yujia Wu; Yushu Wang; Jie Feng; Zhi Xu; Shibo Hao; Zhengzhong Liu 001; Eric P. Xing; Zhiting Hu (CoRR, 2025)