Tiancheng Zhao

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Papers (20)

1. Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning cs.CV · 2025 · author #3
2. VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model cs.CV · 2025 · author #12
3. Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression cs.CL · 2024 · author #3
4. DetailCLIP: Injecting Image Details into CLIP's Feature Space cs.CV · 2022 · author #6
5. Pretraining Methods for Dialog Context Representation Learning cs.CL · 2019 · author #3
6. Target-Guided Open-Domain Conversation cs.CL · 2019 · author #2
7. Unsupervised Dialog Structure Learning cs.CL · 2019 · author #2
8. Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models cs.CL · 2019 · author #1
9. Beyond Turing: Intelligent Agents Centered on the User cs.CL · 2019 · author #4
10. Dirichlet Variational Autoencoder for Text Modeling cs.CL · 2018 · author #2
11. Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation cs.CL · 2018 · author #6
12. Zero-Shot Dialog Generation with Cross-Domain Latent Actions cs.CL · 2018 · author #1
13. Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog cs.CL · 2018 · author #2
14. Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation cs.CL · 2018 · author #1
15. Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability cs.CL · 2017 · author #1
16. Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders cs.CL · 2017 · author #1
17. Leveraging Recurrent Neural Networks for Multimodal Recognition of Social Norm Violation in Dialog cs.CL · 2016 · author #1
18. DialPort: Connecting the Spoken Dialog Research Community to Real User Data cs.AI · 2016 · author #1
19. Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning cs.AI · 2016 · author #1
20. Algorithms for Batch Hierarchical Reinforcement Learning cs.AI · 2016 · author #1

Mentions

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Frequent Coauthors

• Maxine Eskenazi 9 shared papers
• Kyusong Lee 4 shared papers
• Zilun Zhang 4 shared papers
• Jianwei Yin 3 shared papers
• Eric P. Xing 2 shared papers
• Evgeniia Razumovskaia 2 shared papers
• Haozhan Shen 2 shared papers
• Ran Zhao 2 shared papers
• Ruochen Xu 2 shared papers
• Shikib Mehri 2 shared papers
• Xiaodan Liang 2 shared papers
• Zhiting Hu 2 shared papers
• Zhou Yu 2 shared papers
• Allen Lu 1 shared papers
• Bowen Tan 1 shared papers
• Chenyan Xiong 1 shared papers
• Chunxin Fang 1 shared papers
• Cuifeng Shen 1 shared papers
• Devendra Singh Sachan 1 shared papers
• Di Wang 1 shared papers