Lingfeng Shen

According to our database, Lingfeng Shen authored at least 37 papers between 2018 and 2024.

Collaborative distances:

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

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

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

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

CoRR, 2024

AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies.

Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Murari Tiyyala, Nicholas Andrews, Daniel Khashabi

CoRR, 2024

Structerf-SLAM: Neural implicit representation SLAM for structural environments.

Haocheng Wang, Yanlong Cao, Xiaoyao Wei, Yejun Shou, Lingfeng Shen, Zhijie Xu, Kai Ren

Comput. Graph., 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

SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation.

Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 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

Position: Do pretrained Transformers Learn In-Context by Gradient Descent?

Lingfeng Shen, Aayush Mishra, Daniel Khashabi

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

The Trickle-down Impact of Reward Inconsistency on RLHF.

Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies.

Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Murari Tiyyala, Nicholas Andrews, Daniel Khashabi

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

STA: Securing Task Allocation Using AHP and CVSS for IoT Crowdsensing Applications.

Cheng Cheng, Guanghui Wang, Lingfeng Shen, Fang Zuo

Proceedings of the 2024 4th International Conference on Artificial Intelligence, 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

Do pretrained Transformers Really Learn In-context by Gradient Descent?

Lingfeng Shen, Aayush Mishra, Daniel Khashabi

CoRR, 2023

The Trickle-down Impact of Reward (In-)consistency on RLHF.

Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu

CoRR, 2023

Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance.

Lingfeng Shen, Haiyun Jiang, Lemao Liu, Ying Chen

CoRR, 2023

A Simple and Plug-and-play Method for Unsupervised Sentence Representation Enhancement.

Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi

CoRR, 2023

Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model.

Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification.

Lingfeng Shen, Ze Zhang, Haiyun Jiang, Ying Chen

Proceedings of the Eleventh International Conference on Learning Representations, 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

2022

UAV-Enabled Data Collection Over Clustered Machine-Type Communication Networks: AEM Modeling and Trajectory Planning.

Lingfeng Shen, Ning Wang, Zhengyu Zhu, Wei Xu, Yue Li, Xiaomin Mu, Lin Cai

IEEE Trans. Veh. Technol., 2022

Energy-Aware Dynamic Trajectory Planning for UAV-Enabled Data Collection in mMTC Networks.

Lingfeng Shen, Ning Wang, Di Zhang, Jun Chen, Xiaomin Mu, Kon Max Wong

IEEE Trans. Green Commun. Netw., 2022

Revisiting the Evaluation Metrics of Paraphrase Generation.

Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi

CoRR, 2022

Rethink Stealthy Backdoor Attacks in Natural Language Processing.

Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi

CoRR, 2022

Multidimensional Secret Key Agreement with Tensor-Decomposition-Based mmWave MIMO Channel Estimation.

Dandan Mao, Bowen Xue, Lingfeng Shen, Ning Wang, Xiaomin Mu, Wei Xu

Proceedings of the IEEE Globecom 2022 Workshops, 2022

On the Evaluation Metrics for Paraphrase Generation.

Lingfeng Shen, Lemao Liu, Haiyun Jiang, Shuming Shi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DRCNet: Dynamic Image Restoration Contrastive Network.

Fei Li, Lingfeng Shen, Yang Mi, Zhenbo Li

Proceedings of the Computer Vision - ECCV 2022, 2022

UAV Trajectory Optimization for PHY Secure Communication Against Cooperative Eavesdroppers.

Huanran Zhang, Lingfeng Shen, Ning Wang, Xiaomin Mu

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2022

KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification.

Lingfeng Shen, Shoushan Li, Ying Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Secure Energy Efficiency Transmission for mmWave-NOMA System.

Fei Zhao, Wanming Hao, Lingfeng Shen, Gangcan Sun, Yiqing Zhou, Yi Wang

IEEE Syst. J., 2021

2020

Joint Trajectory Optimization and Time Slot Allocation for Buffer-Aided UAV Mobile Relaying.

Yili Liu, Ning Wang, Lingfeng Shen, Zhengyu Zhu, Xiaomin Mu

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference Workshops, 2020

Energy-Awareness Dynamic Trajectory Planning for UAV-Enabled Data Collection in mMTC Networks.

Lingfeng Shen, Ning Wang, Jun Chen, Jingxin Wang, Xiaomin Mu, Kon Max Wong

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

UAV-enabled Data Collection for mMTC Networks: AEM Modeling and Energy-Efficient Trajectory Design.

Lingfeng Shen, Ning Wang, Zhengyu Zhu, Yajun Fan, Xiang Ji, Xiaomin Mu

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Forecasting People's Action via Social Media Data.

Lingfeng Shen, Zhuoming Liu, Xiongtao Zhou

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Iterative Trajectory Optimization for Physical-Layer Secure Buffer-Aided UAV Mobile Relaying.

Lingfeng Shen, Ning Wang, Xiang Ji, Xiaomin Mu, Lin Cai

Sensors, 2019

Trajectory Optimization for Physical Layer Secure Buffer-Aided UAV Mobile Relaying.

Lingfeng Shen, Zhengyu Zhu, Ning Wang, Xiang Ji, Xiaomin Mu, Lin Cai

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

2018

Iterative UAV Trajectory Optimization for Physical Layer Secure Mobile Relaying.

Lingfeng Shen, Ning Wang, Xiaomin Mu

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018

Cooperative Jamming and Relay Beamforming Design for Physical Layer Secure Two-Way Relaying.

Zonghao Ma, Yanhui Lu, Lingfeng Shen, Yili Liu, Ning Wang

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018