Papers
Towards Trustworthy Multimodal AI Systems
Chirag Agarwal
Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation
Mayank Vatsa, Aparna Bharati, Richa Singh
Voting in Divisible Settings: A Survey
Warut Suksompong, Nicholas Teh
Scaling Up AI Alignment
Aarti Singh
10 Open Challenges Steering the Future of Vision-Language-Action Models
Soujanya Poria, Navonil Majumder, Chia-Yu Hung et al.
Is Word Sense Disambiguation Dead in the LLM Era?
Roberto Navigli
Responsible Mechanism Design
Pavel Naumov
Rethinking AI: From Functions to Functors
Sridhar Mahadevan
System L: Toward System 2-Style Legal Reasoning
Chuanyi Li, Yi Feng, Vincent Ng
The Tatort Test of Intelligence: Towards Narrative Comprehension as a Benchmark for AI
Stefan Kramer, Lennart Baur, Lars Reinhardt
Complex Reasoning over Vision and Language --Leveraging Neurosymbolic AI
Parisa Kordjamshidi
Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science
Anuj Karpatne, Xiaowei Jia, Vipin Kumar
Aligning Generative Music AI with Human Preferences: Methods and Challenges
Dorien Herremans, Abhinaba Roy
Multi-Agent Path Finding with Unassigned Agents (MAPFUA)
Ariel Felner, Roni Stern
Multi-Armed Bandits Meet Large Language Models
Djallel Bouneffouf, Raphael Feraud
The Shepherd Test: How Will Super Intelligent Agents Balance Care and Control in Asymmetric Relationships?
Djallel Bouneffouf, Matthew Riemer, Kush R. Varshney
Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs
Shasha Zhou, Mingyu Huang, Jack Cole et al.
Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models
Jiaxu Zhao, Meng Fang, Mingze Zhong et al.