LK
Lingkai Kong
cs.LGcs.AIcs.CLstat.MLcs.NAmath.NAmath.OCmath.DSphysics.chem-phcs.GT
On Valency
published · living versionsW_fmnygec3·v1 · currentpublished
Incentivizing Self-Learning in Large Language Models via Reinforcement Learning
with Yuzhe Gu, Haiteng Zhao, Zijian Wu, Youqing Fang +4
1 version
W_9czab84t·v1published
Preprints & journals
27 papers in the corpus · 2018–2026DiffNash: Finding Nash Equilibrium in High-Dimensional Continuous Action Spaces with Diffusion Policies2610.15932v1 · Haichuan Wang, Anagha Satish, Jiale Zheng et al.2026 · 0 citationsarXiv
A mechanistic study of language model introspection2609.35108v1 · Jiahong Zou, Xiangkun Sun, Lingkai Kong et al.2026 · 0 citationsarXiv
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving2512.10739v3 · Yuzhe Gu, Songyang Gao, Zijian Wu et al.2025 · 0 citationsarXiv
Guided Transfer Learning for Discrete Diffusion Models2512.10877v4 · Julian Kleutgens, Claudio Battiloro, Lingkai Kong et al.2025 · 0 citationsICLR 2026 ReALM-GEN Workshop
Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing2510.12121v2 · Rongzhi Zhang, Liqin Ye, Yuzhao Heng et al.2025 · 0 citationsarXiv
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting2407.02641v1 · Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodriguez et al.2024 · 1 citationarXiv
Efficient Evolutionary Search Over Chemical Space with Large Language Models2406.16976v3 · Haorui Wang, Marta Skreta, Cher-Tian Ser et al.2024 · 6 citationsarXiv
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning2406.09130v1 · Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong et al.2024 · 0 citationsarXiv
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis2406.08627v4 · Haoxin Liu, Shangqing Xu, Zhiyuan Zhao et al.2024 · 19 citationsarXiv
Aligning Large Language Models with Representation Editing: A Control Perspective2406.05954v3 · Lingkai Kong, Haorui Wang, Wenhao Mu et al.2024 · 3 citationsarXiv
Quantitative Convergences of Lie Group Momentum Optimizers2405.20390v1 · Lingkai Kong, Molei Tao2024 · 0 citationsarXiv
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups2405.16381v2 · Yuchen Zhu, Tianrong Chen, Lingkai Kong et al.2024 · 0 citationsarXiv
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints2402.18012v4 · Lingkai Kong, Yuanqi Du, Wenhao Mu et al.2024 · 0 citationsarXiv
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance2401.13849v1 · Haorui Wang, Rongzhi Zhang, Yinghao Li et al.2024 · 1 citationarXiv
DF2: Distribution-Free Decision-Focused Learning2308.05889v2 · Lingkai Kong, Wenhao Mu, Jiaming Cui et al.2023 · 0 citationsarXiv
Autoregressive Diffusion Model for Graph Generation2307.08849v1 · Lingkai Kong, Jiaming Cui, Haotian Sun et al.2023 · 12 citationsarXiv
MUBen: Benchmarking the Uncertainty of Molecular Representation Models2306.10060v4 · Yinghao Li, Lingkai Kong, Yuanqi Du et al.2023 · 6 citationsarXiv
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling2305.19395v2 · Yuchen Zhuang, Yue Yu, Lingkai Kong et al.2023 · 10 citationsarXiv
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting2206.07940v4 · Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodr'iguez et al.2022 · 4 citationsarXiv
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport2205.14173v3 · Lingkai Kong, Yuqing Wang, Molei Tao2022 · 1 citationICLR 2023
AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised Active Learning with Pretrained Language Models2112.08787v2 · Yue Yu, Lingkai Kong, Jieyu Zhang et al.2021 · 2 citationsNAACL 2022
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting2109.07438v3 · Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodr'iguez et al.2021 · 16 citationsarXiv
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting2106.03904v3 · Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodr'iguez et al.2021 · 8 citationsarXiv
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data2010.11506v1 · Lingkai Kong, Haoming Jiang, Yuchen Zhuang et al.2020 · 55 citationsarXiv
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates2008.10546v1 · Lingkai Kong, Jimeng Sun, Chao Zhang2020 · 68 citationsarXiv
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function2002.06189v2 · Lingkai Kong, Molei Tao2020 · 7 citationsarXiv
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data1807.08237v2 · Yisen Wang, Bo Dai, Lingkai Kong et al.2018 · 9 citationsarXiv
Career total: 72 works. 27 are in this corpus.
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