Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Boyi Deng
Observed name:
Deng, Boyi
Institution:
University of Science and Technology of China
Observed institutions:
University of Science and Technology of China,
Alibaba Group (China)
OpenAlex ID:
A5114107429
Attack Prompt Generation for Red Teaming and Defending Large Language Models
2023
·
Boyi Deng
, Wenjie Wang
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
35
PDF
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG
2025
·
Boyi Deng
, Wenjie Wang
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
9
PDF
DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
2026
·
DeepSeek-AI
, :
, et al.
·
arXiv (Cornell University)
PDF
Controllable LLM Reasoning via Sparse Autoencoder‑Based Steering
2026
·
Association for Computational Linguistics 2026
, Deng, Boyi
, et al.
·
Underline Science Inc.
Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models
2026
·
Deng, Boyi
, Wang, Xu
, et al.
·
arXiv (Cornell University)
PDF
Towards Cross-lingual Values Judgment: A Consensus-Pluralism Perspective
2026
·
Chen, Yukun
, Zhang, Xinyu
, et al.
·
arXiv (Cornell University)
PDF
Controllable LLM Reasoning via Sparse Autoencoder-Based Steering
2026
·
Fang, Yi
, Wang, Wenjie
, et al.
·
arXiv (Cornell University)
PDF
Controllable LLM Reasoning via Sparse Autoencoder-Based Steering
2026
·
Yi Fang
, Wenjie Wang
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Answer Probing-Guided Search for Diverse Solution Exploration of LLMs
2026
·
Yi Fang
, Que Shen
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
SASFT: Sparse Autoencoder-guided Supervised Finetuning to Mitigate Unexpected Code-Switching in LLMs
2025
·
Deng, Boyi
, Wan, Yu
, et al.
·
arXiv (Cornell University)
PDF
Show more works
View as search
Works count:
13
Citation count:
44
H-index:
2
I10-index:
1
Year
Topic
Type