Summary of Ru-ai: a Large Multimodal Dataset For Machine-generated Content Detection, by Liting Huang et al.
RU-AI: A Large Multimodal Dataset for Machine-Generated Content Detectionby Liting Huang, Zhihao Zhang, Yiran Zhang,…
RU-AI: A Large Multimodal Dataset for Machine-Generated Content Detectionby Liting Huang, Zhihao Zhang, Yiran Zhang,…
Revisiting Catastrophic Forgetting in Large Language Model Tuningby Hongyu Li, Liang Ding, Meng Fang, Dacheng…
Unveiling the Invisible: Captioning Videos with Metaphorsby Abisek Rajakumar Kalarani, Pushpak Bhattacharyya, Sumit ShekharFirst submitted…
Every Answer Matters: Evaluating Commonsense with Probabilistic Measuresby Qi Cheng, Michael Boratko, Pranay Kumar Yelugam,…
Confabulation: The Surprising Value of Large Language Model Hallucinationsby Peiqi Sui, Eamon Duede, Sophie Wu,…
AgentGym: Evolving Large Language Model-based Agents across Diverse Environmentsby Zhiheng Xi, Yiwen Ding, Wenxiang Chen,…
Legal Documents Drafting with Fine-Tuned Pre-Trained Large Language Modelby Chun-Hsien Lin, Pu-Jen ChengFirst submitted to…
FairytaleQA Translated: Enabling Educational Question and Answer Generation in Less-Resourced Languagesby Bernardo Leite, Tomás Freitas…
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Databy Matthew J…
GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functionsby Salvatore Esposito, Qingshan Xu, Kacper Kania, Charlie…