1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.RO2026
Video2STL: Grounding VLM-Generated Temporal Specifications for Robot Learning
Merve Atasever, Keyan Azbijari, Cagan Bakirci +6
Video-based policy learning is particularly promising, as it illustrates target behaviors without requiring action annotations or embodiment-matched demonstrations. A central chall…
cs.CL2025★ 1 cited
PokerBench: Training Large Language Models to become Professional Poker Players
Richard Zhuang, Akshat Gupta, Richard Yang +3
We introduce PokerBench - a benchmark for evaluating the poker-playing abilities of large language models (LLMs). As LLMs excel in traditional NLP tasks, their application to compl…
cs.DB2024
GeoLife+: Large-Scale Simulated Trajectory Datasets Calibrated to the GeoLife Dataset
Hossein Amiri, Richard Yang, Andreas Zufle
Analyzing individual human trajectory data helps our understanding of human mobility and finds many commercial and academic applications. There are two main approaches to accessing…