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Kenji Kawaguchi
Kenji Kawaguchi
1
Affiliations
Affiliations
Massachusetts Institute of Technology
29
papers
886
total citations
papers (29)
Self-Evaluation Guided Beam Search for Reasoning
NEURIPS 2023
arXiv
244
citations
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
NEURIPS 2023
arXiv
98
citations
Towards 3D Molecule-Text Interpretation in Language Models
ICLR 2024
arXiv
79
citations
Adversarial Training Helps Transfer Learning via Better Representations
NEURIPS 2021
arXiv
58
citations
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
NEURIPS 2023
arXiv
58
citations
Discrete-Valued Neural Communication
NEURIPS 2021
arXiv
53
citations
EIGNN: Efficient Infinite-Depth Graph Neural Networks
NEURIPS 2021
arXiv
49
citations
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
ICLR 2025
arXiv
46
citations
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
NEURIPS 2022
arXiv
33
citations
Noether Networks: meta-learning useful conserved quantities
NEURIPS 2021
arXiv
30
citations
Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron
ICLR 2025
29
citations
Drug Discovery with Dynamic Goal-aware Fragments
ICML 2024
arXiv
19
citations
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models
ECCV 2024
arXiv
19
citations
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
ICML 2024
arXiv
14
citations
Set-based Meta-Interpolation for Few-Task Meta-Learning
NEURIPS 2022
arXiv
12
citations
Unsupervised Concept Discovery Mitigates Spurious Correlations
ICML 2024
arXiv
9
citations
VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models
CVPR 2024
arXiv
8
citations
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding
AAAI 2024
arXiv
8
citations
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers
ICML 2024
arXiv
6
citations
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
ICML 2024
arXiv
4
citations
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion
ICML 2024
arXiv
4
citations
Unnatural Languages Are Not Bugs but Features for LLMs
ICML 2025
arXiv
3
citations
Deep Regression Representation Learning with Topology
ICML 2024
arXiv
2
citations
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification
NEURIPS 2023
arXiv
1
citations
An Information Theory Perspective on Variance-Invariance-Covariance Regularization
NEURIPS 2023
0
citations
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline
ICML 2024
0
citations
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning
NEURIPS 2022
0
citations
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization
NEURIPS 2021
0
citations
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
NEURIPS 2021
arXiv
0
citations