205 citations · 861 across the 59 of their papers we have counts for
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LLMs for Resource Allocation: A Participatory Budgeting Approach to Inferring Preferences
Sankarshan Damle, Boi Faltings
Large Language Models (LLMs) are increasingly expected to handle complex decision-making tasks, yet their ability to perform structured resource allocation remains underexplored. E…
Evolutionary Developmental Biology Can Serve as the Conceptual Foundation for a New Design Paradigm in Artificial Intelligence
Zeki Doruk Erden, Boi Faltings
Artificial intelligence (AI), propelled by advancements in machine learning, has made significant strides in solving complex tasks. However, the current neural network-based paradi…
Agential AI for Integrated Continual Learning, Deliberative Behavior, and Comprehensible Models
Zeki Doruk Erden, Boi Faltings
Contemporary machine learning paradigm excels in statistical data analysis, solving problems that classical AI couldn't. However, it faces key limitations, such as a lack of integr…
SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling
Fengyu Cai, Wanhao Zhou, Fei Mi +1
Utterance-level intent detection and token-level slot filling are two key tasks for natural language understanding (NLU) in task-oriented systems. Most existing approaches assume t…
Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain
Naman Goel, Cyril van Schreven, Aris Filos-Ratsikas +1
Blockchain based systems allow various kinds of financial transactions to be executed in a decentralized manner. However, these systems often rely on a trusted third party (oracle)…
Crowdsourcing with Fairness, Diversity and Budget Constraints
Naman Goel, Boi Faltings
Recent studies have shown that the labels collected from crowdworkers can be discriminatory with respect to sensitive attributes such as gender and race. This raises questions abou…