Discrete-rate adaptive modulation with optimum switching thresholds for space-time coded multipleinput multiple-output system with imperfect channel state information. - Xiangbin Yu 001; Weiting Tan; Shu-Hung Leung; Yun Rui; Xin Yin; Xiaoshuai Liu (IET Commun., 2013)

Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation. - Weiting Tan; Shuoyang Ding; Huda Khayrallah; Philipp Koehn (AMTA, 2022)

Bitext Mining for Low-Resource Languages via Contrastive Learning. - Weiting Tan; Philipp Koehn (CoRR, 2022)

Multilingual Representation Distillation with Contrastive Learning. - Weiting Tan; Kevin Heffernan; Holger Schwenk; Philipp Koehn (EACL, 2023)

Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency. - Lingfeng Shen; Weiting Tan; Boyuan Zheng; Daniel Khashabi (EMNLP (Findings), 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 (EMNLP, 2023)

Structure-Aware Path Inference for Neural Finite State Transducers. - Weiting Tan; Chu-Cheng Lin; Jason Eisner (CoRR, 2023)

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 (ACL (Findings), 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 001 (ICML, 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 (NAACL-HLT (Findings), 2024)

DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation. - Weiting Tan; Jingyu Zhang; Lingfeng Shen; Daniel Khashabi; Philipp Koehn (NeurIPS, 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)

It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF. - Taiming Lu; Lingfeng Shen; Xinyu Yang 002; Weiting Tan; Beidi Chen; Huaxiu Yao (CoRR, 2024)

SSR: Alignment-Aware Modality Connector for Speech Language Models. - Weiting Tan; Hirofumi Inaguma; Ning Dong; Paden Tomasello; Xutai Ma (CoRR, 2024)

Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets. - Tianjian Li; Haoran Xu; Weiting Tan; Kenton Murray; Daniel Khashabi (NAACL (Long Papers), 2025)