Cohen, William W.

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Yang, Z., Qi, P., Zhang, S., Bengio, Y., Cohen, W., Salakhutdinov, R., & Manning, C. D. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Topic ModelingMultimodal Machine Learning Applications

Cited by 1,804

Gated-Attention Readers for Text Comprehension

Dhingra, B., Liu, H., Yang, Z., Cohen, W., & Salakhutdinov, R. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 366

Time-aware language models as temporal knowledge bases

Dhingra, B., Cole, J. R., Eisenschlos, J. M., Gillick, D., Eisenstein, J., & Cohen, W. W. (2022) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 212

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation

Dhingra, B., Faruqui, M., Parikh, A., Chang, M.-W., Das, D., & Cohen, W. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 150

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Chen, W., Ma, X., Wang, X., & Cohen, W. W. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 125

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Yang, Z., Qi, P., Zhang, S., Bengio, Y., Cohen, W. W., Salakhutdinov, R., & Manning, C. D. (2018) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 97

Semi-Supervised Classification of Network Data Using Very Few Labels

Lin, F., & Cohen, W. W. (2010) · 2010 International Conference on Advances in Social Networks Analysis and Mining

Machine Learning and AlgorithmsAdvanced Graph Neural Networks

Cited by 96

Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Chen, W., Hu, H., Saharia, C., & Cohen, W. W. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 55

Faithful Embeddings for Knowledge Base Queries

Sun, H., Arnold, A. O., Bedrax-Weiss, T., Pereira, F., & Cohen, W. W. (2020) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 51

Structure Learning via Parameter Learning

Wang, W. Y., Mazaitis, K., & Cohen, W. W. (2014) · Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

Logic, Reasoning, and KnowledgeBayesian Modeling and Causal Inference

Cited by 47

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models

Bohnet, B., Tran, V. Q., Verga, P., Aharoni, R., Andor, D., Soares, L. B., Ciaramita, M., Eisenstein, J., Ganchev, K., Herzig, J., et al. (2022) · arXiv

Topic ModelingAuthorship Attribution and Profiling

Cited by 30

Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study

Matsuda, N., Cohen, W. W., Sewall, J., Lacerda, G., & Koedinger, K. R. (2008) · Lecture Notes in Computer Science

Intelligent Tutoring Systems and Adaptive LearningVisual and Cognitive Learning Processes

Cited by 17

Reasoning Over Virtual Knowledge Bases With Open Predicate Relations

Sun, H., Verga, P., Dhingra, B., Salakhutdinov, R., & Cohen, W. W. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought

Sarch, G., Jang, L., Tarr, M. J., Cohen, W. W., Marino, K., & Fragkiadaki, K. (2024) · arXiv

Multimodal Machine Learning ApplicationsAI-based Problem Solving and Planning

Cited by 6