Chandan Singh
14 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Papers
MULTIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities
EMNLP 2025
Simplifying DINO via Coding Rate Regularization
ICML 2025
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning
COLING 2025
Vector-ICL: In-context Learning with Continuous Vector Representations
ICLR 2025
Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions
NeurIPS 2024
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
ICLR 2024
Explaining Data Patterns in Natural Language with Language Models
EMNLP 2023
Orthogonal Transforms for Learning Invariant Representations in Equivariant Neural Networks
WACV 2023
Revisiting minimum description length complexity in overparameterized models
JMLR 2023
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
EMNLP 2023
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.
ICML 2022
Adaptive wavelet distillation from neural networks through interpretations
NeurIPS 2021
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge
ICML 2020
Hierarchical interpretations for neural network predictions
ICLR 2019