Fran Silavong

21 papers A 2Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Industry-Aligned Granular Topic Modeling.
CoRR
Sae Young Moon, Myeongjun Erik Jang, Haoyan Luo, Chunyang Xiao, Antonios Georgiadis, Fran Silavong
2026 J jnl
TrueBrief: Faithful Summarization through Small Language Models.
CoRR
Kumud Lakara, Ruibo Shi, Fran Silavong
2025 J jnl
A probabilistic model for API contract specification retrieval focusing on the openAPI standard.
Data Min. Knowl. Discov.
Sae Young Moon, Gregor Kerr, Fran Silavong, Sean J. Moran
2025 J jnl
Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration.
CoRR
Thomas Walshe, Sae Young Moon, Chunyang Xiao, Yawwani Gunawardana, Fran Silavong
2025 — conf
InstaJudge: Aligning Judgment Bias of LLM-as-Judge with Humans in Industry Applications.
EMNLP (Industry Track)
Myeongjun Erik Jang, Fran Silavong
2025 J jnl
Learning a consensus sub-network with polarization regularization and one pass training.
Data Min. Knowl. Discov.
Xiaoying Zhi, Varun Babbar, Rundong Liu, Pheobe Sun, Fran Silavong, Ruibo Shi, Sean J. Moran
2024 — conf
API-Miner: an API-to-API Specification Recommendation Engine.
FinanSE@ICSE
Sae Young Moon, Gregor Kerr, Fran Silavong, Sean J. Moran
2024 — conf
DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift.
NAACL (Industry Track)
Myeongjun Jang, Antonios Georgiadis, Yiyun Zhao, Fran Silavong
2024 A conf
Mixing Gradients in Neural Networks as a Strategy to Enhance Privacy in Federated Learning.
WACV
Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran
2024 — conf
Topical: Automatic Repository Tagging using Attention on Hybrid Code Embeddings.
FinanSE@ICSE
Agathe Lherondelle, Varun Babbar, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran
2023 — conf
A Baseline Generative Probabilistic Model for Weakly Supervised Learning.
ECML/PKDD (6)
Georgios Papadopoulos, Fran Silavong, Sean J. Moran
2023 J jnl
A Benchmark Generative Probabilistic Model for Weak Supervised Learning.
CoRR
Georgios Papadopoulos, Fran Silavong, Sean J. Moran
2023 J jnl
A New Baseline for GreenAI: Finding the Optimal Sub-Network via Layer and Channel Pruning.
CoRR
Xiaoying Zhi, Varun Babbar, Pheobe Sun, Fran Silavong, Ruibo Shi, Sean J. Moran
2022 J jnl
API-Spector: an API-to-API Specification Recommendation Engine.
CoRR
Sae Young Moon, Fran Silavong, Sean J. Moran
2022 — conf
CV4Code: Sourcecode Understanding via Visual Code Representations.
ACCV (2)
Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, Sean J. Moran
2022 J jnl
CV4Code: Sourcecode Understanding via Visual Code Representations.
CoRR
Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, Sean J. Moran
2022 J jnl
Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies.
CoRR
Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran
2022 J jnl
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation.
CoRR
Antonios Georgiadis, Varun Babbar, Fran Silavong, Sean J. Moran, Robert Otter
2022 A conf
Senatus - A Fast and Accurate Code-to-Code Recommendation Engine.
MSR
Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter
2022 J jnl
Topical: Learning Repository Embeddings from Source Code using Attention.
CoRR
Agathe Lherondelle, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran
2021 J jnl
DeSkew-LSH based Code-to-Code Recommendation Engine.
CoRR
Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter