Weiting Tan

28 papers A* 3A 1Misc 1Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
FlowPortrait: Reinforcement Learning for Audio-Driven Portrait Video Generation.
CoRR
Weiting Tan, Andy T. Liu, Ming Tu, Xinghua Qu, Philipp Koehn, Lu Lu
2025 J jnl
Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents.
CoRR
Weiting Tan, Xinghua Qu, Ming Tu, Meng Ge, Andy T. Liu, Philipp Koehn, Lu Lu
2025 — conf
Seeing is Believing: Emotion-Aware Audio-Visual Language Modeling for Expressive Speech Generation.
EMNLP (Findings)
Weiting Tan, Jiachen Lian, Hirofumi Inaguma, Paden Tomasello, Philipp Koehn, Xutai Ma
2025 J jnl
Seeing is Believing: Emotion-Aware Audio-Visual Language Modeling for Expressive Speech Generation.
CoRR
Weiting Tan, Jiachen Lian, Hirofumi Inaguma, Paden Tomasello, Philipp Koehn, Xutai Ma
2025 — conf
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets.
NAACL (Long Papers)
Tianjian Li, Haoran Xu, Weiting Tan, Kenton Murray, Daniel Khashabi
2024 A* conf
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation.
ICML
Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim
2024 J jnl
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation.
CoRR
Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim
2024 A* conf
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation.
NeurIPS
Weiting Tan, Jingyu Zhang, Lingfeng Shen, Daniel Khashabi, Philipp Koehn
2024 J jnl
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation.
CoRR
Weiting Tan, Jingyu Zhang, Lingfeng Shen, Daniel Khashabi, Philipp Koehn
2024 J jnl
It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF.
CoRR
Taiming Lu, Lingfeng Shen, Xinyu Yang, Weiting Tan, Beidi Chen, Huaxiu Yao
2024 — conf
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles.
NAACL-HLT (Findings)
Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen
2024 J jnl
SSR: Alignment-Aware Modality Connector for Speech Language Models.
CoRR
Weiting Tan, Hirofumi Inaguma, Ning Dong, Paden Tomasello, Xutai Ma
2024 J jnl
Streaming Sequence Transduction through Dynamic Compression.
CoRR
Weiting Tan, Yunmo Chen, Tongfei Chen, Guanghui Qin, Haoran Xu, Heidi C. Zhang, Benjamin Van Durme, Philipp Koehn
2024 — conf
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts.
ACL (Findings)
Lingfeng Shen, Weiting Tan, Sihao Chen, Yunmo Chen, Jingyu Zhang, Haoran Xu, Boyuan Zheng, Philipp Koehn, Daniel Khashabi
2024 J jnl
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts.
CoRR
Lingfeng Shen, Weiting Tan, Sihao Chen, Yunmo Chen, Jingyu Zhang, Haoran Xu, Boyuan Zheng, Philipp Koehn, Daniel Khashabi
2024 J jnl
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets.
CoRR
Tianjian Li, Haoran Xu, Weiting Tan, Kenton Murray, Daniel Khashabi
2023 A* conf
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules.
EMNLP
Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray
2023 J jnl
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules.
CoRR
Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray
2023 — conf
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency.
EMNLP (Findings)
Lingfeng Shen, Weiting Tan, Boyuan Zheng, Daniel Khashabi
2023 J jnl
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency.
CoRR
Lingfeng Shen, Weiting Tan, Boyuan Zheng, Daniel Khashabi
2023 A conf
Multilingual Representation Distillation with Contrastive Learning.
EACL
Weiting Tan, Kevin Heffernan, Holger Schwenk, Philipp Koehn
2023 J jnl
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles.
CoRR
Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen
2023 J jnl
Structure-Aware Path Inference for Neural Finite State Transducers.
CoRR
Weiting Tan, Chu-Cheng Lin, Jason Eisner
2022 J jnl
Bitext Mining for Low-Resource Languages via Contrastive Learning.
CoRR
Weiting Tan, Philipp Koehn
2022 Misc conf
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation.
AMTA
Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn
2022 J jnl
Multilingual Representation Distillation with Contrastive Learning.
CoRR
Weiting Tan, Kevin Heffernan, Holger Schwenk, Philipp Koehn
2021 J jnl
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation.
CoRR
Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn
2013 J jnl
Discrete-rate adaptive modulation with optimum switching thresholds for space-time coded multipleinput multiple-output system with imperfect channel state information.
IET Commun.
Xiangbin Yu, Weiting Tan, Shu-Hung Leung, Yun Rui, Xin Yin, Xiaoshuai Liu