Ke Shen

Orcid: 0000-0003-3600-0435

Affiliations:
  • University of Southern California, Marina del Rey, CA, USA
  • Chongqing University of Posts and Telecommunications, Chongqing, China (former)


According to our database1, Ke Shen authored at least 28 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Theoretically Grounded Question Answering Data Set for Evaluating Machine Common Sense.
Data Intell., 2024

SelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQL.
CoRR, 2024

Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference.
CoRR, 2024

An Evaluation of Estimative Uncertainty in Large Language Models.
CoRR, 2024

Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

The Generalization and Robustness of Transformer-Based Language Models on Commonsense Reasoning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
An experimental study measuring the generalization of fine-tuned language representation models across commonsense reasoning benchmarks.
Expert Syst. J. Knowl. Eng., June, 2023


TG-CSR: Theoretically-Grounded Commonsense Reasoning Benchmark.
Dataset, January, 2023

TG-CSR: Theoretically-Grounded Commonsense Reasoning Benchmark.
Dataset, January, 2023

TG-CSR: Theoretically-Grounded Commonsense Reasoning Benchmark.
Dataset, January, 2023

A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores.
CoRR, 2023

Substructure Discovery in Commonsense Relations Using Graph Representation Learning.
Proceedings of the Intelligent Systems and Applications, 2023

An Analytical Approximation of Simplicial Complex Distributions in Communication Networks.
Proceedings of the Complex Networks & Their Applications XII, 2023

Context-Rich Evaluation of Machine Common Sense.
Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

2022
Transfer-based taxonomy induction over concept labels.
Eng. Appl. Artif. Intell., 2022

Understanding Substructures in Commonsense Relations in ConceptNet.
CoRR, 2022

Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes.
CoRR, 2022

A Theoretically Grounded Benchmark for Evaluating Machine Commonsense.
CoRR, 2022

Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks?
CoRR, 2022

2021
An evaluation and annotation methodology for product category matching in e-commerce.
Comput. Ind., 2021

On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models.
Proceedings of the Artificial Intelligence XXXVIII, 2021

Unsupervised real-time induction and interactive visualization of taxonomies over domain-specific concepts.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base.
CoRR, 2020

Do Fine-tuned Commonsense Language Models Really Generalize?
CoRR, 2020

2019
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, 2019

2018
NEARM: Natural Language Enhanced Association Rules Mining.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
Relation Linking for Wikidata Using Bag of Distribution Representation.
Proceedings of the Natural Language Processing and Chinese Computing, 2017


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