Weiting Tan

According to our database, Weiting Tan authored at least 20 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FlowPortrait: Reinforcement Learning for Audio-Driven Portrait Video Generation.

Weiting Tan, Andy T. Liu, Ming Tu, Xinghua Qu, Philipp Koehn, Lu Lu

CoRR, March, 2026

2025

Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents.

Weiting Tan, Xinghua Qu, Ming Tu, Meng Ge, Andy T. Liu, Philipp Koehn, Lu Lu

CoRR, September, 2025

Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets.

Tianjian Li, Haoran Xu, Weiting Tan, Kenton Murray, Daniel Khashabi

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

SSR: Alignment-Aware Modality Connector for Speech Language Models.

Weiting Tan, Hirofumi Inaguma, Ning Dong, Paden D. Tomasello, Xutai Ma

Proceedings of the 22nd International Conference on Spoken Language Translation, 2025

Streaming Sequence Transduction through Dynamic Compression.

Weiting Tan, Yunmo Chen, Tongfei Chen, Guanghui Qin, Haoran Xu, Chenyu Zhang, Benjamin Van Durme, Philipp Koehn

Proceedings of the 22nd International Conference on Spoken Language Translation, 2025

Seeing is Believing: Emotion-Aware Audio-Visual Language Modeling for Expressive Speech Generation.

Weiting Tan, Jiachen Lian, Hirofumi Inaguma, Paden Tomasello, Philipp Koehn, Xutai Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF.

Taiming Lu, Lingfeng Shen, Xinyu Yang, Weiting Tan, Beidi Chen, Huaxiu Yao

CoRR, 2024

Streaming Sequence Transduction through Dynamic Compression.

Weiting Tan, Yunmo Chen, Tongfei Chen, Guanghui Qin, Haoran Xu, Heidi C. Zhang, Benjamin Van Durme, Philipp Koehn

CoRR, 2024

DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation.

Weiting Tan, Jingyu Zhang, Lingfeng Shen, Daniel Khashabi, Philipp Koehn

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles.

Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

JHU IWSLT 2024 Dialectal and Low-resource System Description.

Nathaniel Romney Robinson, Kaiser Sun, Cihan Xiao, Niyati Bafna, Weiting Tan, Haoran Xu, Henry Li Xinyuan, Ankur Kejriwal, Sanjeev Khudanpur, Kenton Murray, Paul McNamee

Proceedings of the 21st International Conference on Spoken Language Translation, 2024

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation.

Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts.

Lingfeng Shen, Weiting Tan, Sihao Chen, Yunmo Chen, Jingyu Zhang, Haoran Xu, Boyuan Zheng, Philipp Koehn, Daniel Khashabi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Structure-Aware Path Inference for Neural Finite State Transducers.

Weiting Tan, Chu-Cheng Lin, Jason Eisner

CoRR, 2023

Condensing Multilingual Knowledge with Lightweight Language-Specific Modules.

Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency.

Lingfeng Shen, Weiting Tan, Boyuan Zheng, Daniel Khashabi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multilingual Representation Distillation with Contrastive Learning.

Weiting Tan, Kevin Heffernan, Holger Schwenk, Philipp Koehn

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Bitext Mining for Low-Resource Languages via Contrastive Learning.

Weiting Tan, Philipp Koehn

CoRR, 2022

Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation.

Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn

Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

2013

Discrete-rate adaptive modulation with optimum switching thresholds for space-time coded multipleinput multiple-output system with imperfect channel state information.

Xiangbin Yu, Weiting Tan, Shu-Hung Leung, Yun Rui, Xin Yin, Xiaoshuai Liu

IET Commun., 2013