Ting-En Lin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
9
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Act-Adaptive Margin: Dynamically Calibrating Reward Models for Subjective Ambiguity. | Feiteng Fang, Dingwei Chen, Xiang Huang, Ting-En Lin, Yuchuan Wu, Xiong Liu, Jing Ye, Ziqiang Liu, Haonan Zhang, Liang Zhu, Hamid Alinejad-Rokny, Min Yang, Yongbin Li |
| 2026 | ACL | Reasoning-Guided Exploration for Online DPO. | Zetian Hu, Shunyu Liu, Ting-En Lin, Fei Huang, Yongbin Li, Dacheng Tao |
| 2025 | ACL | Reverse Preference Optimization for Complex Instruction Following. | Xiang Huang, Ting-En Lin, Feiteng Fang, Yuchuan Wu, Hangyu Li, Yuzhong Qu, Fei Huang, Yongbin Li |
| 2025 | ACL | MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct. | Run Luo, Haonan Zhang, Longze Chen, Ting-En Lin, Xiong Liu, Yuchuan Wu, Min Yang, Yongbin Li, Minzheng Wang, Pengpeng Zeng, Lianli Gao, Heng Tao Shen, Yunshui Li, Hamid Alinejad-Rokny, Xiaobo Xia, Jingkuan Song, Fei Huang |
| 2025 | ACL | OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction. | Haonan Zhang, Run Luo, Xiong Liu, Yuchuan Wu, Ting-En Lin, Pengpeng Zeng, Qiang Qu, Feiteng Fang, Min Yang, Lianli Gao, Jingkuan Song, Fei Huang, Yongbin Li |
| 2025 | ACL | Supervised Optimism Correction: Be Confident When LLMs Are Sure. | Junjie Zhang, Rushuai Yang, Shunyu Liu, Ting-En Lin, Fei Huang, Yi Chen, Yongbin Li, Dacheng Tao |
| 2025 | ICLR | DEEM: Diffusion models serve as the eyes of large language models for image perception. | Run Luo, Yunshui Li, Longze Chen, Wanwei He, Ting-En Lin, Ziqiang Liu, Lei Zhang, Zikai Song, Hamid Rokny, Xiaobo Xia, Tongliang Liu, Binyuan Hui, Min Yang |
| 2024 | ACL | Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use. | Yuhan Chen, Ang Lv, Ting-En Lin, Changyu Chen, Yuchuan Wu, Fei Huang, Yongbin Li, Rui Yan |
| 2024 | ACL | Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. | Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li |
| 2024 | COLING | Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models. | Haoyu Gao, Ting-En Lin, Hangyu Li, Min Yang, Yuchuan Wu, Wentao Ma, Fei Huang, Yongbin Li |
| 2024 | EMNLP | Improving Factual Consistency of News Summarization by Contrastive Preference Optimization. | Huawen Feng, Yan Fan, Xiong Liu, Ting-En Lin, Zekun Yao, Yuchuan Wu, Fei Huang, Yongbin Li, Qianli Ma |
| 2023 | ACL | Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment. | Tianshu Yu, Haoyu Gao, Ting-En Lin, Min Yang, Yuchuan Wu, Wentao Ma, Chao Wang, Fei Huang, Yongbin Li |
| 2023 | ICASSP | Empathetic Response Generation via Emotion Cause Transition Graph. | Yushan Qian, Bo Wang, Ting-En Lin, Yinhe Zheng, Ying Zhu, Dongming Zhao, Yuexian Hou, Yuchuan Wu, Yongbin Li |
| 2023 | ICCV | Multi-View Active Fine-Grained Visual Recognition. | Ruoyi Du, Wenqing Yu, Heqing Wang, Ting-En Lin, Dongliang Chang, Zhanyu Ma |
| 2023 | SIGIR | Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning. | Haoyu Gao, Rui Wang, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li |
| 2022 | EMNLP | UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition. | Guimin Hu, Ting-En Lin, Yi Zhao, Guangming Lu, Yuchuan Wu, Yongbin Li |
| 2022 | KDD | Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems. | Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li |
| 2021 | AAAI | Deep Open Intent Classification with Adaptive Decision Boundary. | Hanlei Zhang, Hua Xu, Ting-En Lin |
| 2021 | AAAI | Discovering New Intents with Deep Aligned Clustering. | Hanlei Zhang, Hua Xu, Ting-En Lin, Rui Lyu |
| 2020 | AAAI | Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract). | Ting-En Lin, Hua Xu, Hanlei Zhang |
| 2020 | AAAI | Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement. | Ting-En Lin, Hua Xu, Hanlei Zhang |
| 2019 | ACL | Deep Unknown Intent Detection with Margin Loss. | Ting-En Lin, Hua Xu |