Philip S. Yu

Computation and Language Advancing Table-Based Question Answering Techniques

New framework improves long answer generation from tables.

2025-09-24T19:43:42+00:00 ― 7 min read

Machine Learning Advancements in Graph-Based Semi-Supervised Learning

Discover new methods enhancing graph learning through labeled and unlabeled data.

2025-09-22T14:24:12+00:00 ― 5 min read

Machine Learning Improving User Interaction Predictions in Networks

A new model for better interaction predictions in user-item networks.

2025-09-19T08:03:42+00:00 ― 5 min read

Machine Learning Improving Graph Anomaly Detection with Active Learning

A new framework enhances anomaly detection in graph data using active learning techniques.

2025-09-15T03:51:48+00:00 ― 6 min read

Machine Learning Refining Graph Structures with DeepRicci

DeepRicci enhances graph neural networks by improving structure and node features.

2025-09-14T23:15:18+00:00 ― 6 min read

Information Retrieval Improving Recommendation Systems with Confidence

A new framework enhances personalized suggestions by focusing on confidence levels.

2025-09-08T01:52:54+00:00 ― 4 min read

Computation and Language Evaluating the Vulnerability of Generative Search Engines

Generative search engines face challenges from adversarial questions, impacting accuracy.

2025-09-04T11:22:36+00:00 ― 5 min read

Computation and Language The Role of Language Models in Education

Exploring the impact of language models on student learning and teaching.

2025-08-25T15:49:30+00:00 ― 6 min read

Machine Learning Managing Uncertainty in Graph Neural Networks

Effective strategies for addressing uncertainty in Graph Neural Networks enhance reliability.

2025-08-22T10:59:04+00:00 ― 6 min read

Machine Learning Advancements in Graph Clustering Without Predefined Groups

New methods for graph clustering allow for flexible grouping without knowing cluster numbers.

2025-08-09T17:35:48+00:00 ― 4 min read

Machine Learning A New Approach to Missing Data Imputation

This article presents a method to improve handling of missing data.

2025-08-03T21:38:06+00:00 ― 8 min read

Machine Learning Ensuring Fairness in Graph Anomaly Detection Methods

A framework that detects anomalies in graphs while promoting fair treatment.

2025-08-02T19:33:54+00:00 ― 6 min read

Machine Learning Introducing IGL-Bench: A New Standard for Imbalanced Graph Learning

IGL-Bench provides essential tools for better analyzing imbalanced graphs.

2025-07-28T17:30:36+00:00 ― 6 min read

Cryptography and Security Improving Privacy in Federated Learning with Machine Unlearning

A method to enhance data privacy in federated learning by removing specific data influences.

2025-07-27T02:32:12+00:00 ― 5 min read

Computation and Language WaterSeeker: A New Way to Detect Watermarks

WaterSeeker improves detection methods for watermarked text in large documents.

2025-06-15T11:27:00+00:00 ― 5 min read

Computation and Language Improving LLMs with Phonemic Awareness

Integrating phonemic transcriptions can enhance LLM performance across different language scripts.

2025-05-31T15:57:00+00:00 ― 6 min read

Computation and Language Improving Document Understanding with LLMs

A new method enhances document relation extraction for better connections.

2025-05-30T05:09:36+00:00 ― 5 min read

Machine Learning Detective Work in Temporal Graphs

New methods boost outlier detection in evolving networks.

2025-04-28T12:37:00+00:00 ― 5 min read

Software Engineering Innovative Use of LLMs for Code Summarization Evaluation

Large Language Models enhance code summarization assessments with creative evaluations.

2025-04-23T14:57:45+00:00 ― 6 min read

Artificial Intelligence Probabilistic Coding: A New Approach to Data

Discover how probabilistic coding is reshaping data interpretation and decision-making.

2025-03-22T06:22:03+00:00 ― 6 min read