Manohar Kaul
14 papers · 2018–2026 · 8 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(8)
Machine Learning
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Deep Learning
(7)
Core AI
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Computer Vision
(4)
Analysis
(4)
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Learning Types Β· Machine Learning
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Knowledge & Reasoning
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Keywords
point cloud
(4)
large language model
(3)
jailbreak attack
(3)
few-shot learning
(3)
graph neural network
(2)
knowledge graph
(2)
domain generalization
(1)
optimal transport
(1)
contrastive learning
(1)
graph matching
(1)
graph classification
(1)
self-supervised learning
(1)
attention mechanism
(1)
knowledge distillation
(1)
metric learning
(1)
3d vision
(1)
domain adaptation
(1)
chain-of-thought reasoning
(1)
safety alignment
(1)
question answering
(1)
Papers
Look Before You Leap: A Lookahead Reasoning Quality Gate for Speculative Decoding
EACL 2026
Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks
ICLR 2025
EFFICIENT JAILBREAK ATTACK SEQUENCES ON LARGE LANGUAGE MODELS VIA MULTI-ARMED BANDIT-BASED CONTEXT SWITCHING
ICLR 2025
Elemental Composite Prototypical Network: Few-Shot Object Detection on Outdoor 3D Point Cloud Scenes
WACV 2025
Learning Semantic Part-Based Graph Structure for 3D Point Cloud Domain Generalization
WACV 2025
SafeQuant: LLM Safety Analysis via Quantized Gradient Inspection
NAACL 2025
Towards a Training Free Approach for 3D Scene Editing
WACV 2025
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs
ACL 2024
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation
WACV 2024
FEW-SHOT LEARNING ON GRAPHS VIA SUPER-CLASSES BASED ON GRAPH SPECTRAL MEASURES
ICLR 2020
Self-Supervised Few-Shot Learning on Point Clouds
NeurIPS 2020
Simplicial Complex based Point Correspondence between Images warped onto Manifolds
ECCV 2020
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
ACL 2019
Solving Partial Assignment Problems using Random Clique Complexes
ICML 2018