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Author

Qiaozhi He

Observed name: He, Qiaozhi
ORCID: 0000-0002-5927-0502
Observed ORCID: 0000-0002-5927-0502
OpenAlex ID: A5102737726
Learning Reliable Neural Networks with Distributed Architecture Representations
2023 · Yinqiao Li, Runzhe Cao, et al. · ACM Transactions on Asian and Low-Resource Language Information Processing · 5
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Learning from Environmental Feedback: Credit Assignment across Multiple Timescales for Agentic Reinforcement Learning
2026 · Huo, Yifu, Xing, Shunjie, et al. · arXiv (Cornell University)
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Skill Retrieval Augmentation for Agentic AI
2026 · Su, Weihang, Long, Jianming, et al. · arXiv (Cornell University)
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DaPT: A Dual-Path Framework for Multilingual Multi-Hop Question Answering
2026 · Yilin Wang, Yuchun Fan, et al. · IEEE International Conference on Acoustics Speech and Signal Processing
SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models
2026 · Huo, Yifu, Wang, Chenglong, et al. · arXiv (Cornell University)
SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models
2026 · Huo, Yifu, Wang, Chenglong, et al. · arXiv (Cornell University)
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DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering
2026 · Wang, Yilin, Fan, Yuchun, et al. · arXiv (Cornell University)
DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering
2026 · Wang, Yilin, Fan, Yuchun, et al. · arXiv (Cornell University)
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Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
2026 · Chenglong Wang, Yifu Huo, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
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When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning
2026 · Mao, Ruixiang, Ma, Xiangnan, et al. · arXiv (Cornell University)
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APR: Penalizing Structural Redundancy in Large Reasoning Models via Anchor-based Process Rewards
2026 · Chang, Kaiyan, Zhu, Chenwei, et al. · arXiv (Cornell University)
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SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams
2026 · Wang, Chenglong, Li, Canjia, et al. · arXiv (Cornell University)
SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams
2026 · Wang, Chenglong, Li, Canjia, et al. · arXiv (Cornell University)
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Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
2026 · Association for Artificial Intelligence 2026, Gan, Yang, et al. · Underline Science Inc.
SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models
2026 · Yifu Huo, Chenglong Wang, et al.
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SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams
2026 · Chenglong Wang, Canjia Li, et al.
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Efficient LLM Inference with Kcache
2024 · He, Qiaozhi, Wu, Zhihua · arXiv (Cornell University)
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Code Comparison Tuning for Code Large Language Models
2024 · Jiang, Yufan, He, Qiaozhi, et al. · arXiv (Cornell University)
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RecycleGPT: An Autoregressive Language Model with Recyclable Module
2023 · Jiang, Yufan, He, Qiaozhi, et al. · arXiv (Cornell University)
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Works count: 19
Citation count: 5
H-index: 1
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