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Jian Liang

Ultralong organic phosphorescence from isolated molecules with repulsive interactions for multifunctional applications
2022 · Xiaokang Yao, Huili Ma, et al. · Nature Communications · 170
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Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
2024 · Huang, Wenke, Liang, Jian, et al. · arXiv (Cornell University) · 1
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Bridging the Confidence Gap: Temperature Scaling for Calibrating Test-Time Prompt Tuning
2026 · Liang, Yuwei, Liang, Jian, et al. · arXiv (Cornell University)
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Recovering General Capabilities via Uncertainty-Calibrated Multi-Teacher On-Policy Distillation
2026 · Liu, Ziyuan, Ou, Jiao, et al. · arXiv (Cornell University)
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From Trajectories to Evidence: Auditable Experimental Records for Industrial Research Agents
2026 · Zhuang, Zijie, Lao, Changxin, et al. · arXiv (Cornell University)
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AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks?
2026 · Yan, Dong, Liang, Jian, et al. · arXiv (Cornell University)
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Switch-Reasoner: Learn When to Think in Multitask Mixtures via Reinforcement Learning
2026 · Fang, Yiyang, Fu, Pei, et al. · arXiv (Cornell University)
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KAT-Coder-V2.5 Technical Report
2026 · Huang, Bo, Li, Fengxiang, et al. · arXiv (Cornell University)
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USE: A Unified Self-Ensembling Framework for Test-Time Prompt Tuning
2026 · Jiang, Siru, Liang, Jian, et al. · arXiv (Cornell University)
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GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment
2026 · Lv, Minxuan, Mei, Tiehua, et al. · arXiv (Cornell University)
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ALM-MTA:Front-Door Causal Multi-Touch Attribution Method for Creator-Ecosystem Optimization
2026 · Liu, Yuguang, Xia, Luyao, et al. · arXiv (Cornell University)
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Kwai Summary Attention Technical Report
2026 · Chu, Chenglong, Zhou, Guorui, et al. · arXiv (Cornell University)
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Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning
2026 · Yu, Yongcan, He, Lingxiao, et al. · arXiv (Cornell University)
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What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time
2026 · Yan, Dong, Liang, Jian, et al. · arXiv (Cornell University)
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How to Train Your Deep Research Agent? Prompt, Reward, and Policy Optimization in Search-R1
2026 · Xu, Yinuo, Lu, Shuo, et al. · arXiv (Cornell University)
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Addressing Vacancy and Affordability Challenges: An Analysis of the Impact of Vacant House Tax on Urban Housing Prices
2026 · Jian Liang, Kang Mo Koo · SSRN Electronic Journal
Counteraction-Aware Multi-Teacher On-Policy Distillation for General Capability Recovery with Domain Preservation
2026 · Tianlei Chen, Jiao Ou, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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DualStake: Dual-Path Confidence Calibration in Deep Research Agent
2026 · Yinuo Xu, Yuwei Liang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
2025 · Huang, Wenke, Liang, Jian, et al. · arXiv (Cornell University)
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Works count: 19
Citation count: 171
H-index: 1
I10-index: 1
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