Papers
Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint)
Zhilin Zhao, Longbing Cao, Philip S. Yu
Explain It as Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint)
Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
Human Activity Recognition in an Open World (Abstract Reprint)
Derek Prijatelj, Samuel Grieggs, Jin Huang et al.
NovPhy: A Physical Reasoning Benchmark for Open-World AI Systems Author Links Open Overlay Panel (Abstract Reprint)
Vimukthini Pinto, Chathura Gamage, Cheng Xue et al.
Human-AI Coevolution (Abstract Reprint)
Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina et al.
A Semantic Framework for Neurosymbolic Computation (Abstract Reprint)
Alejandra López de Aberasturi Gómez, Jordi Sabater-Mir, Carles Sierra
Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint)
Juhani Kivimäki, Jakub Białek, Jukka K. Nurminen et al.
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization (Abstract Reprint)
Frederic Kirstein, Jan Philip Wahle, Bela Gipp et al.
On Measuring Inconsistency in Graph Databases with Regular Path Constraints (Abstract Reprint)
John Grant, Francesco Parisi
The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint)
Kevin Delcourt, Sylvie Trouilhet, Jean-Paul Arcangeli et al.
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization (Abstract Reprint)
Furkan Cantürk, Taha Varol, Reyhan Aydoğan et al.
Credulous Acceptance in High-Order Argumentation Frameworks with Necessities: An Incremental Approach (Abstract Reprint)
Gianvincenzo Alfano, Andrea Cohen, Sebastian Gottifredi et al.
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract)
Zhen Tan, Lu Cheng, Song Wang et al.
CAM-Based Methods Can See through Walls (Extended Abstract)
Magamed Taimeskhanov, Ronan Sicre, Damien Garreau
Data Void Exploits: Tracking & Mitigation Strategies (Extended Abstract)
Miro Mannino, Junior Garcia, Reem Hazim et al.
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (Extended Abstract)
Qianou Ma, Hua Shen, Ken Koedinger et al.
A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery (Extended Abstract)
Zhigang Liu, Hao Yan, Yurong Zhong et al.
Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract)
Peiyan Li, Honglian Wang, Christian Böhm
SEE: Spherical Embedding Expansion for Improving Deep Metric Learning (Extended Abstract)
Binh M. Le, Simon S. Woo
Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract)
Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani et al.
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract)
Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang et al.
Incentives for Early Arrival in Cooperative Games (Extended Abstract)
Yaoxin Ge, Yao Zhang, Dengji Zhao et al.
Mechanism Design for Large Language Models (Extended Abstract)
Paul Dütting, Vahab Mirrokni, Renato Paes Leme et al.