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Found 2 papers, 1 papers with code
Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases
Our findings demonstrate that current large language models struggle more with problems involving these three types of biases.
Sensor-Augmented Egocentric-Video Captioning with Dynamic Modal Attention
We compared the proposed sensor-fusion method with strong baselines on the MMAC Captions dataset and found that using sensor data as supplementary information to the egocentric-video data was beneficial, and that our proposed method outperformed the strong baselines, demonstrating the effectiveness of the proposed method.
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