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Runyu Peng
Observed name:
Peng, Runyu
Institution:
Shanghai Artificial Intelligence Laboratory
Observed institutions:
Fudan University,
Shanghai Artificial Intelligence Laboratory
OpenAlex ID:
A5065443067
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation
2024
·
Qin Zhu
, Qinyuan Cheng
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
3
PDF
Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
2026
·
Zou, Yicheng
, Zhu, Dongsheng
, et al.
·
arXiv (Cornell University)
·
1
PDF
Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections
2025
·
Bo Wang
, Qinyuan Cheng
, et al.
·
neural information processing systems
·
1
PDF
Intern-S2-Preview: Scientific Agentic Foundation Model
2026
·
Bai, Lei
, Cao, Jiaqi
, et al.
·
arXiv (Cornell University)
PDF
Synthetic Pre-Pre-Training Improves Language Model Robustness to Noisy Pre-Training Data
2026
·
Guo, Xu
, Peng, Runyu
, et al.
·
arXiv (Cornell University)
PDF
What Makes Position Zero Special? A Mechanistic Study of Position Zero Attention Sinks in LLMs
2026
·
Peng, Runyu
, Li, Ruixiao
, et al.
·
arXiv (Cornell University)
PDF
Explicit Multi-head Attention for Inter-head Interaction in Large Language Models
2026
·
Peng, Runyu
, Zhou, Yunhua
, et al.
·
arXiv (Cornell University)
PDF
AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models
2025
·
Zhu, Qin
, Huang, Fei
, et al.
·
arXiv (Cornell University)
PDF
Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs
2025
·
Runyu Peng
, Yunhua Zhou
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Data-free Weight Compress and Denoise for Large Language Models
2024
·
Peng, Runyu
, Zhou, Yunhua
, et al.
·
arXiv (Cornell University)
PDF
Look into Multi-Person: A New Benchmark for Pose Estimation and Human Parsing
2020
·
Yanlu Cai
, Yuqing Li
, et al.
·
IEEE International Conference on Big Data (BigData)
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Works count:
12
Citation count:
6
H-index:
1
I10-index:
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