Ke Shen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Interactive Visualization

Commonsense Reasoning

Theoretically Sound

Top Venues

Publications

Zhisheng Tang, Ke Shen, Mayank Kejriwal
An Evaluation of Estimative Uncertainty in Large Language Models. CoRR (2024)
Adin Aberbach, Mayank Kejriwal, Ke Shen
Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract). AAAI (2024)
Henrique Santos, Ke Shen, Alice M. Mulvehill, Mayank Kejriwal, Deborah L. McGuinness
A Theoretically Grounded Question Answering Data Set for Evaluating Machine Common Sense. Data Intell. 6 (1) (2024)
Ke Shen
The Generalization and Robustness of Transformer-Based Language Models on Commonsense Reasoning. AAAI (2024)
Ke Shen, Mayank Kejriwal
An Analytical Approximation of Simplicial Complex Distributions in Communication Networks. COMPLEX NETWORKS (4) (2023)
Ke Shen, Mayank Kejriwal
An experimental study measuring the generalization of fine-tuned language representation models across commonsense reasoning benchmarks. Expert Syst. J. Knowl. Eng. 40 (5) (2023)
Mayank Kejriwal, Henrique Santos, Ke Shen, Alice M. Mulvehill, Deborah L. McGuinness
Context-Rich Evaluation of Machine Common Sense. AGI (2023)
Ke Shen, Mayank Kejriwal
A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores. CoRR (2023)
Mayank Kejriwal, Ke Shen
Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks? CoRR (2022)
Ke Shen, Mayank Kejriwal
Understanding Substructures in Commonsense Relations in ConceptNet. CoRR (2022)
Mayank Kejriwal, Ke Shen, Chien-Chun Ni, Nicolas Torzec
Transfer-based taxonomy induction over concept labels. Eng. Appl. Artif. Intell. 108 (2022)
Ke Shen, Mayank Kejriwal
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes. CoRR (2022)
Henrique Santos, Ke Shen, Alice M. Mulvehill, Yasaman Razeghi, Deborah L. McGuinness, Mayank Kejriwal
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense. CoRR (2022)
Mayank Kejriwal, Ke Shen
Unsupervised real-time induction and interactive visualization of taxonomies over domain-specific concepts. ASONAM (2021)
Ke Shen, Mayank Kejriwal
On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models. SGAI Conf. (2021)
Mayank Kejriwal, Ke Shen, Chien-Chun Ni, Nicolas Torzec
An evaluation and annotation methodology for product category matching in e-commerce. Comput. Ind. 131 (2021)
Mayank Kejriwal, Ke Shen
Do Fine-tuned Commonsense Language Models Really Generalize? CoRR (2020)
Ke Shen, Mayank Kejriwal
A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base. CoRR (2020)
Zhixing Li, Shiya Ren, Huaming Wang, Ke Shen
基于非结构化文本增强关联规则的知识推理方法 (Knowledge Reasoning Method Based on Unstructured Text-enhanced Association Rules). 计算机科学 46 (11) (2019)
Shiya Ren, Zhixing Li, Huaming Wang, Yuan Li, Ke Shen, Sijie Cheng
NEARM: Natural Language Enhanced Association Rules Mining. ICDM Workshops (2018)
Xi Yang, Shiya Ren, Yuan Li, Ke Shen, Zhixing Li, Guoyin Wang
Relation Linking for Wikidata Using Bag of Distribution Representation. NLPCC (2017)