Zhiting Hu

Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models ACL 2026 Vision-G1: Towards General Reasoning Vision-Language Models via Reinforcement Learning AAAI 2026 Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation ACL 2025 Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs ICML 2025 Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models EMNLP 2024 MMToM-QA: Multimodal Theory of Mind Question Answering ACL 2024 PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization ICLR 2024 RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs NAACL 2024 Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding ICML 2024 UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models EMNLP 2024 AlignScore: Evaluating Factual Consistency with A Unified Alignment Function ACL 2023 BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models ACL 2023 Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer NeurIPS 2023 Composable Text Controls in Latent Space with ODEs EMNLP 2023 Language Models Meet World Models: Embodied Experiences Enhance Language Models NeurIPS 2023 Reasoning with Language Model is Planning with World Model EMNLP 2023 Text Alignment Is An Efficient Unified Model for Massive NLP Tasks NeurIPS 2023 ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings NeurIPS 2023 ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models EMNLP 2022 Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation NAACL 2022 Efficient (Soft) Q-Learning for Text Generation with Limited Good Data EMNLP 2022 RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning EMNLP 2022 A Causal Lens for Controllable Text Generation NeurIPS 2021 Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation EMNLP 2021 Knowledge-Enriched Natural Language Generation EMNLP 2021 Progressive Generation of Long Text with Pretrained Language Models NAACL 2021 Semantic Aligned Multi-modal Transformer for Vision-LanguageUnderstanding: A Preliminary Study on Visual QA NAACL 2021 A Data-Centric Framework for Composable NLP Workflows EMNLP 2020 Data-to-Text Generation with Style Imitation EMNLP 2020 Improving GAN Training with Probability Ratio Clipping and Sample Reweighting NeurIPS 2020 Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach EMNLP 2020 AutoLoss: Learning Discrete Schedule for Alternate Optimization ICLR 2019 Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation AAAI 2019 Learning Data Manipulation for Augmentation and Weighting NeurIPS 2019 Target-Guided Open-Domain Conversation ACL 2019 Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation ACL 2019 Towards Multi-Pose Guided Virtual Try-On Network ICCV 2019 Automatic Article Commenting: the Task and Dataset ACL 2018 Deep Generative Models with Learnable Knowledge Constraints NeurIPS 2018 Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation NeurIPS 2018 On Unifying Deep Generative Models ICLR 2018 Symbolic Graph Reasoning Meets Convolutions NeurIPS 2018 Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation ACL 2018 Unsupervised Text Style Transfer using Language Models as Discriminators NeurIPS 2018 Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification ACL 2017 Improved Variational Autoencoders for Text Modeling using Dilated Convolutions ICML 2017 Learning Scalable Deep Kernels with Recurrent Structure JMLR 2017 Neural Machine Translation with Recurrent Attention Modeling EACL 2017 Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning ICCV 2017 Recurrent Topic-Transition GAN for Visual Paragraph Generation ICCV 2017 Toward Controlled Generation of Text ICML 2017 Deep Kernel Learning AISTATS 2016 Deep Neural Networks with Massive Learned Knowledge EMNLP 2016 Grounding Topic Models with Knowledge Bases IJCAI 2016 Harnessing Deep Neural Networks with Logic Rules ACL 2016 Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification COLING 2016 Learning Concept Taxonomies from Multi-modal Data ACL 2016 Stochastic Variational Deep Kernel Learning NeurIPS 2016 Entity Hierarchy Embedding ACL 2015 Large-scale Distributed Dependent Nonparametric Trees ICML 2015