3 citations · 8 across the 15 of their papers we have counts for
5 papers · 1 filter
Information Fidelity in Tool-Using LLM Agents: A Martingale Analysis of the Model Context Protocol
Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer +1
As AI agents powered by large language models (LLMs) increasingly use external tools for high-stakes decisions, a critical reliability question arises: how do errors propagate acro…
TangramSR: Can Vision-Language Models Reason in Continuous Geometric Space?
Yikun Zong, Cheston Tan
Humans excel at spatial reasoning tasks like Tangram puzzle assembly through cognitive processes involving mental rotation, iterative refinement, and visual feedback. Inspired by h…
The Singapore Consensus on Global AI Safety Research Priorities
Yoshua Bengio, Tegan Maharaj, Luke Ong +84
Rapidly improving AI capabilities and autonomy hold significant promise of transformation, but are also driving vigorous debate on how to ensure that AI is safe, i.e., trustworthy,…
From Grunts to Lexicons: Emergent Language from Cooperative Foraging
Maytus Piriyajitakonkij, Rujikorn Charakorn, Weicheng Tao +4
Language is a powerful communicative and cognitive tool. It enables humans to express thoughts, share intentions, and reason about complex phenomena. Despite our fluency in using a…
Advancing Perception in Artificial Intelligence through Principles of Cognitive Science
Palaash Agrawal, Cheston Tan, Heena Rathore
Although artificial intelligence (AI) has achieved many feats at a rapid pace, there still exist open problems and fundamental shortcomings related to performance and resource effi…