Presents CUActSpot benchmark and renderer-LLM data synthesis that lets a 4B model outperform larger open-source models on complex computer interactions.
Visualagentbench: Towards large multimodal models as visual foundation agents
3 Pith papers cite this work. Polarity classification is still indexing.
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CTM-AI combines a formal consciousness model with foundation models to report state-of-the-art results on sarcasm detection, humor, and agentic tool-use benchmarks.
A new QoS-QoE Translation dataset is constructed from multimedia literature and fine-tuned LLMs demonstrate strong performance on bidirectional continuous and discrete QoS-QoE predictions.
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Covering Human Action Space for Computer Use: Data Synthesis and Benchmark
Presents CUActSpot benchmark and renderer-LLM data synthesis that lets a 4B model outperform larger open-source models on complex computer interactions.
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CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness
CTM-AI combines a formal consciousness model with foundation models to report state-of-the-art results on sarcasm detection, humor, and agentic tool-use benchmarks.
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QoS-QoE Translation with Large Language Model
A new QoS-QoE Translation dataset is constructed from multimedia literature and fine-tuned LLMs demonstrate strong performance on bidirectional continuous and discrete QoS-QoE predictions.