Lingfeng Shen

Researcher, ByteDance Inc.

Joined

November 2020

Names

Lingfeng Shen (Preferred)

Emails

****@outlook.com (Confirmed)

****@jhu.edu (Confirmed)

Personal Links

Google Scholar

DBLP

Semantic Scholar

Career & Education History

Researcher

ByteDance Inc. (bytedance.com)

2024 – 2099

MS student

Johns Hopkins University (jh.edu)

2022 – 2024

Undergrad student

China Agricultural University (cau.edu.cn)

2018 – 2022

Advisors, Relations & Conflicts

No relations added

Expertise

NLP

Present

Publications

DRCNet: Dynamic Image Restoration Contrastive Network
Fei Li, Lingfeng Shen, YANG MI, Zhenbo Li
- European Conference on Computer Vision (ECCV) 2022
- Readers: Everyone
Generalizable End-to-End Tool-Use RL with Synthetic CodeGym
Weihua Du, Hailei Gong, Zhan Ling, Kang Liu, Lingfeng Shen, Xuesong Yao, Yufei Xu, Dingyuan Shi, Yiming Yang, Jiecao Chen
- ICLR 2026 Poster
- Readers: Everyone
MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?
Kai Yan, Zhan Ling, Kang Liu, Yifan Yang, Ting-Han Fan, Lingfeng Shen, Zhengyin Du, Jiecao Chen
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
Reliable and Responsible Foundation Models
Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou et al. (32 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
MIR-Bench: Benchmarking LLM's Long-Context Intelligence via Many-Shot In-Context Inductive Reasoning
Kai Yan, Zhan Ling, Kang Liu, Yifan Yang, Ting-Han Fan, Lingfeng Shen, Zhengyin Du, Jiecao Chen
- Reasoning and Planning for LLMs @ ICLR2025
- Readers: Everyone
It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF
TaiMing Lu, Lingfeng Shen, Xinyu Yang, Weiting Tan, Ryumei Nakada, Linjun Zhang, Beidi Chen, Huaxiu Yao
- Submitted to ICLR 2025
- Readers: Everyone
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
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
Weiting Tan, Jingyu Zhang, Lingfeng Shen, Daniel Khashabi, Philipp Koehn
- NeurIPS 2024 poster
- Readers: Everyone
Position: Do pretrained Transformers Learn In-Context by Gradient Descent?
Lingfeng Shen, Aayush Mishra, Daniel Khashabi
- ICML 2024 Oral
- Readers: Everyone
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
- ICML 2024 Poster
- Readers: Everyone

View all 17 publications

Co-Authors

View all 98 co-authors