Chandar, Sarath

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

Serban, I. V., García-Durán, A., Gulcehre, C., Ahn, S., Chandar, S., Courville, A., & Bengio, Y. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 280

Interpretability Needs a New Paradigm

Madsen, A., Lakkaraju, H., Reddy, S., & Chandar, S. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 22

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Assran, M., Bardes, A., Fan, D., Garrido, Q., Howes, R., Mojtaba, Komeili, Muckley, M., Rizvi, A., Roberts, C., et al. (2025) · arXiv

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 8

Boosting LLM Reasoning via Spontaneous Self-Correction

Zhao, X., Xu, T., Wang, X., Chen, Z., Jin, D., Tan, L., Yen-Ting, Yu, Z., Zhao, Z., He, Y., et al. (2025) · arXiv

Topic ModelingMathematics Education and Pedagogy

Cited by 0