Katia Sycara

20 papers · 2015–2025 · 10 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🏃 Academic Marathon (10) 🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8)

🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (9) 🗺️ Taxonomy Completionist (49) 🌱 Topic Pioneer 🤝 Dynamic Duo (10) 🧬 Topic Evolution ⚡ Prolific Year (6) 💎 Century Club (20) 🚀 Conference Pioneer 🗃️ Keyword Collector (118)

Conferences

NIPS (7) CORL (2) EMNLP (2) IJCAI (2) WACV (2) AAAI (1) COLING (1) CVPR (1) ICCV (1) RSS (1)

Top co-authors

Simon Stepputtis (10) Yaqi Xie (8) Ce Zhang (4) Silong Yong (3) Joseph Campbell (3) Huao Li (3) Charles Lewis (2) Nilanjan Chakraborty (2) Chen Wang (2) Michael Lewis (2)

Research topics

Applications (1) Applications (1) Applications (1) Applications (1)

Keywords

large language model (3) multi-agent system (3) multi-agent reinforcement learning (3) domain generalization (2) vision-language model (2) multimodal learning (2) zero-shot transfer (2) zero-shot learning (2) scene understanding (1) volume rendering (1) deep reinforcement learning (1) feature extraction (1) sequential decision-making (1) policy gradient (1) self-supervised learning (1) few-shot learning (1) optimal transport (1) logical reasoning (1) sample efficiency (1) prototype learning (1)

Papers

ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models ICCV 2025 Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation WACV 2025 Enhancing Vision-Language Few-Shot Adaptation with Negative Learning WACV 2025 Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models NIPS 2024 Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication 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 HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation CVPR 2024 Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets NIPS 2024 Theory of Mind for Multi-Agent Collaboration via Large Language Models EMNLP 2023 Characterizing Out-of-Distribution Error via Optimal Transport NIPS 2023 Reconfigurable Robot Control Using Flexible Coupling Mechanisms RSS 2023 Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Models EMNLP 2023 Emergent Discrete Communication in Semantic Spaces NIPS 2021 Augmenting GAIL with BC for sample efficient imitation learning CORL 2020 Towards Better Interpretability in Deep Q-Networks AAAI 2019 MAME : Model-Agnostic Meta-Exploration CORL 2019 Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification COLING 2016 Nonnegative Matrix Tri-Factorization with Graph Regularization for Community Detection in Social Networks IJCAI 2015 A Crowdfunding Model for Green Energy Investment IJCAI 2015