Simon Stepputtis
20 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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(47)
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Interdisciplinary Bridge
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Keyword Champion
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(11)
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Prolific Year
(5)
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(5)
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Century Club
(18)
ποΈ
Keyword Collector
(104)
Conferences
NIPS (5)
EMNLP (3)
ACL (2)
CORL (2)
ICLR (2)
WACV (2)
AAAI (1)
CVPR (1)
ICCV (1)
RSS (1)
Top co-authors
Keywords
multimodal learning
(5)
multi-agent system
(4)
vision-language model
(3)
large language model
(3)
robot manipulation
(2)
multi-agent reinforcement learning
(2)
language model
(2)
hallucination mitigation
(2)
deception detection
(2)
sample efficiency
(1)
policy optimization
(1)
imitation learning
(1)
domain generalization
(1)
prototype learning
(1)
semantic segmentation
(1)
volume rendering
(1)
probabilistic modeling
(1)
depth estimation
(1)
sequential decision-making
(1)
zero-shot learning
(1)
Papers
LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models
AAAI 2026
Bayesian Social Deduction with Graph-Informed Language Models
ACL 2026
Enhancing Vision-Language Few-Shot Adaptation with Negative Learning
WACV 2025
ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models
ICCV 2025
Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
ICLR 2025
InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning
ACL 2025
Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation
WACV 2025
OMG: Opacity Matters in Material Modeling with Gaussian Splatting
ICLR 2025
HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation
CVPR 2024
Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
NIPS 2024
GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Acceleration
NIPS 2024
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
NIPS 2024
Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models
EMNLP 2024
Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Models
EMNLP 2023
Characterizing Out-of-Distribution Error via Optimal Transport
NIPS 2023
Theory of Mind for Multi-Agent Collaboration via Large Language Models
EMNLP 2023
Concept Learning for Interpretable Multi-Agent Reinforcement Learning
CORL 2022
Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation
CORL 2022
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
NIPS 2020
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks
RSS 2019