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University of California, Davis
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Many autonomous GUI-agent failures can be repaired when users can see and edit plans in real-time, transforming how we interact with automation systems.
Chart design can mislead vision models into learning visual cues instead of actual temporal patterns, fundamentally altering their performance.
Time-series classification gets a visual upgrade: fusing raw data with intuitive charts like line, bar, and scatter plots can boost accuracy, especially on smaller datasets.
Pokemon, not just a childhood game, emerges as a surprisingly effective benchmark for AI, revealing critical gaps in LLMs and RL agents that existing benchmarks miss.