Seokki Lee

Orcid: 0000-0002-5637-252X

According to our database1, Seokki Lee authored at least 26 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus.
CoRR, 2024

Abductive Symbolic Solver on Abstraction and Reasoning Corpus.
Proceedings of the First International Workshop on Logical Foundations of Neuro-Symbolic AI (LNSAI 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

O2ARC 3.0: A Platform for Solving and Creating ARC Tasks.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Solving Why Not Questions for Aggregate Constraints Through Query Repair.
Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2024

2023
Hybrid Query and Instance Explanations and Repairs.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Efficient Sampling for Big Provenance.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Provenance-based Explanations for Machine Learning (ML) Models.
Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

Pedestrian Orientation Estimation based on Super Resolution of LiDAR Data.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023

2022
Measuring information gain using provenance.
Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, 2022

2021
Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb.
Proc. VLDB Endow., 2021

To not miss the forest for the trees - a holistic approach for explaining missing answers over nested data (extended version).
CoRR, 2021

Using Provenance to Evaluate Risk and Benefit of Data Sharing.
Proceedings of the 13th International Workshop on Theory and Practice of Provenance, 2021

To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
Approximate Summaries for Why and Why-not Provenance.
Proc. VLDB Endow., 2020

Approximate Summaries for Why and Why-not Provenance (Extended Version).
CoRR, 2020

2019
PUG: a framework and practical implementation for why and why-not provenance.
VLDB J., 2019

Query-based Why-not Explanations for Nested Data.
Proceedings of the 11th International Workshop on Theory and Practice of Provenance, 2019

2018
Provenance Summaries for Answers and Non-Answers.
Proc. VLDB Endow., 2018

GProM - A Swiss Army Knife for Your Provenance Needs.
IEEE Data Eng. Bull., 2018

PUG: A Framework and Practical Implementation for Why & Why-Not Provenance (extended version).
CoRR, 2018

2017
Debugging Transactions and Tracking their Provenance with Reenactment.
Proc. VLDB Endow., 2017

Efficiently Computing Provenance Graphs for Queries with Negation.
CoRR, 2017

Integrating Approximate Summarization with Provenance Capture.
Proceedings of the 9th USENIX Workshop on the Theory and Practice of Provenance, 2017

A SQL-Middleware Unifying Why and Why-Not Provenance for First-Order Queries.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Adaptive Schema Databases.
Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016
Implementing Unified Why- and Why-Not Provenance Through Games.
Proceedings of the Provenance and Annotation of Data and Processes, 2016


  Loading...