Philip S. Yu
- Papers
- 41
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Authored papers
41Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models
arXiv 2026
CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding
arXiv 2026
AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery
arXiv 2026
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey
arXiv 2026
CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
arXiv 2026
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook
arXiv 2026
When Users Change Their Mind: Evaluating Interruptible Agents in Long-Horizon Web Navigation
arXiv 2026
EpochX: Building the Infrastructure for an Emergent Agent Civilization
arXiv 2026
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
arXiv 2025
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
arXiv 2025
A Survey on Large Language Model based Human-Agent Systems
arXiv 2025
Large Language Models Post-training: Surveying Techniques from Alignment to Reasoning
arXiv 2025
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
arXiv 2025
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
arXiv 2025
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy
arXiv 2025
Judge Anything: MLLM as a Judge Across Any Modality
arXiv 2025
ProjectTest: A Project-level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms
arXiv 2025
Seeking and Updating with Live Visual Knowledge
arXiv 2025
TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency
arXiv 2025
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
arXiv 2025
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective
arXiv 2025
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
arXiv 2025
Can Multimodal LLMs Perform Time Series Anomaly Detection?
arXiv 2025
TrustLLM: Trustworthiness in Large Language Models
arXiv 2024
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
arXiv 2024
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction
arXiv 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
arXiv 2024
DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism
arXiv 2024
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space
arXiv 2024
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
arXiv 2024
FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection
arXiv 2024
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
arXiv 2024
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
arXiv 2024
A Survey on Evaluation of Large Language Models
arXiv 2023
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability
arXiv 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
arXiv 2023
Variational Graph Generator for Multi-View Graph Clustering
arXiv 2022
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
arXiv 2021
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
arXiv 2020
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning
arXiv 2020
Generative Dual Adversarial Network for Generalized Zero-shot Learning
generative-dual-adversarial-network-for-1
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