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Kenji Kawaguchi

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

65

Venues

15

Active years

2013–2026

Best venue rank

A*

Where they publish

Papers

65 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLComicVQA: A Benchmark for Visual Reasoning in Multimodal LLMs.Esther Gan, Hannah Brown, David Herel, Kenji Kawaguchi, Min-Yen Kan, Michael Qizhe Shieh
2025AAAISingle Character Perturbations Break LLM Alignment.Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh
2025ACLWhat Makes a Good Natural Language Prompt?Do Xuan Long, Duy Dinh, Ngoc-Hai Nguyen, Kenji Kawaguchi, Nancy F. Chen, Shafiq Joty, Min-Yen Kan
2025ACLBeyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines.Do Xuan Long, Duong Ngoc Yen, Do Xuan Trong, Anh Tuan Luu, Kenji Kawaguchi, Shafiq Joty, Min-Yen Kan, Nancy F. Chen
2025ACLPruning General Large Language Models into Customized Expert Models.Yiran Zhao, Guizhen Chen, Kenji Kawaguchi, Lidong Bing, Wenxuan Zhang
2025COLINGAligning Large Language Models with Human Opinions through Persona Selection and Value-Belief-Norm Reasoning.Xuan Long Do, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen
2025ICLRUnderstanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron.Yiran Zhao, Wenxuan Zhang, Yuxi Xie, Anirudh Goyal, Kenji Kawaguchi, Michael Shieh
2025ICLRLearning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning.Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
2025ICLRNExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation.Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2025ICMLUnnatural Languages Are Not Bugs but Features for LLMs.Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh
2025ICMLMinimalist Concept Erasure in Generative Models.Yang Zhang, Er Jin, Yanfei Dong, Yixuan Wu, Philip Torr, Ashkan Khakzar, Johannes Stegmaier, Kenji Kawaguchi
2025NAACLLLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs.Do Xuan Long, Ngoc-Hai Nguyen, Tiviatis Sim, Hieu Dao, Shafiq Joty, Kenji Kawaguchi, Nancy F. Chen, Min-Yen Kan
2025NAACLGetting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data.Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li, Hong Cheng, Kenji Kawaguchi
2025NAACLAdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging.Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing
2024AAAITowards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding.Depeng Li, Tianqi Wang, Junwei Chen, Qining Ren, Kenji Kawaguchi, Zhigang Zeng
2024ACLReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining.Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024ACLProtT3: Protein-to-Text Generation for Text-based Protein Understanding.Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024ACLPrompt Optimization via Adversarial In-Context Learning.Do Xuan Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He
2024CVPRVA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models.Xiang Li, Qianli Shen, Kenji Kawaguchi
2024ECCVEnhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models.Yang Zhang, Teoh Tze Tzun, Lim Wei Hern, Kenji Kawaguchi
2024EMNLPReasoning Robustness of LLMs to Adversarial Typographical Errors.Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh
2024EMNLPMulti-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models.Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen
2024ICLRSimple Hierarchical Planning with Diffusion.Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024ICLRSelf-Supervised Dataset Distillation for Transfer Learning.Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2024ICLRTowards 3D Molecule-Text Interpretation in Language Models.Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
2024ICLRScalable and Effective Implicit Graph Neural Networks on Large Graphs.Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
2024ICLRTowards Robust Out-of-Distribution Generalization Bounds via Sharpness.Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
2024ICMLUnsupervised Concept Discovery Mitigates Spurious Correlations.Md Rifat Arefin, Yan Zhang, Aristide Baratin, Francesco Locatello, Irina Rish, Dianbo Liu, Kenji Kawaguchi
2024ICMLPlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer.Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024ICMLExact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers.Brian K. Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi
2024ICMLDrug Discovery with Dynamic Goal-aware Fragments.Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang
2024ICMLReferee Can Play: An Alternative Approach to Conditional Generation via Model Inversion.Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao
2024ICMLThe Surprising Effectiveness of Skip-Tuning in Diffusion Sampling.Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi
2024ICMLThe Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline.Haonan Wang, Qianli Shen, Yao Tong, Yang Zhang, Kenji Kawaguchi
2024ICMLDeep Regression Representation Learning with Topology.Shihao Zhang, Kenji Kawaguchi, Angela Yao
2023AAAIAdaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness.Dianbo Liu, Alex Lamb, Xu Ji, Pascal Tikeng Notsawo Jr., Michael Mozer, Yoshua Bengio, Kenji Kawaguchi
2023ECAIUnderstanding and Improving Neural Active Learning on Heteroskedastic Distributions.Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb
2023EMNLPMolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter.Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
2023EMNLPAutomatic Model Selection with Large Language Models for Reasoning.James Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Michael Qizhe Xie
2023ICLRSimplicial Embeddings in Self-Supervised Learning and Downstream Classification.Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Ankit Vani, Michael Noukhovitch, Kenji Kawaguchi, Aaron C. Courville
2023ICLRSelf-Distillation for Further Pre-training of Transformers.Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
2023ICLRSelf-Supervised Set Representation Learning for Unsupervised Meta-Learning.Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang
2023ICLRD4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory.Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan
2023ICMLHow Does Information Bottleneck Help Deep Learning?Kenji Kawaguchi, Zhun Deng, Xu Ji, Jiaoyang Huang
2023ICMLGFlowOut: Dropout with Generative Flow Networks.Dianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio
2023ICMLAuxiliary Learning as an Asymmetric Bargaining Game.Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2023ICMLDiscrete Key-Value Bottleneck.Frederik Truble, Anirudh Goyal, Nasim Rahaman, Michael Curtis Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schlkopf
2023ICMLScalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation.Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2023KDDSketch-Based Anomaly Detection in Streaming Graphs.Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi
2023UAIMixupE: Understanding and improving Mixup from directional derivative perspective.Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
2022ICMLRobustness Implies Generalization via Data-Dependent Generalization Bounds.Kenji Kawaguchi, Zhun Deng, Kyle Luh, Jiaoyang Huang
2022ICMLMulti-Task Learning as a Bargaining Game.Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2022ICMLWhen and How Mixup Improves Calibration.Linjun Zhang, Zhun Deng, Kenji Kawaguchi, James Zou
2022WWWMemStream: Memory-Based Streaming Anomaly Detection.Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi
2021AAAIA Recipe for Global Convergence Guarantee in Deep Neural Networks.Kenji Kawaguchi, Qingyun Sun
2021AAAIGraphMix: Improved Training of GNNs for Semi-Supervised Learning.Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
2021ICLROn the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers.Kenji Kawaguchi
2021ICLRHow Does Mixup Help With Robustness and Generalization?Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou
2021ICMLTowards Domain-Agnostic Contrastive Learning.Vikas Verma, Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le
2021ICMLOptimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth.Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi
2020AISTATSElimination of All Bad Local Minima in Deep Learning.Kenji Kawaguchi, Leslie Pack Kaelbling
2020AISTATSOrdered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization.Kenji Kawaguchi, Haihao Lu
2018AAAIDeep Semi-Random Features for Nonlinear Function Approximation.Kenji Kawaguchi, Bo Xie, Le Song
2016AAAIBounded Optimal Exploration in MDP.Kenji Kawaguchi
2013IJCAIPrior-Free Exploration Bonus for and beyond Near Bayes-Optimal Behavior.Kenji Kawaguchi, Hiroshi Sato