Kaize Ding

A Survey of Large Language Models for Text-Guided Molecular Discovery: From Molecule Generation to Optimization ACL 2026 CoAct: Co-Active LLM Preference Learning with Human-AI Synergy ACL 2026 Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection ACL 2026 MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization ACL 2026 Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators AAAI 2026 AD-LLM: Benchmarking Large Language Models for Anomaly Detection ACL 2025 ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations NAACL 2025 AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering EMNLP 2025 Avoiding Copyright Infringement via Large Language Model Unlearning NAACL 2025 Explaining Length Bias in LLM-Based Preference Evaluations EMNLP 2025 Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers? COLING 2025 Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey NAACL 2025 On Large Language Model Continual Unlearning ICLR 2025 Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark ICLR 2025 Data-Efficient Graph Learning AAAI 2024 Empowering Large Language Models for Textual Data Augmentation ACL 2024 Let’s Ask GNN: Empowering Large Language Model for Graph In-Context Learning EMNLP 2024 MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders WACV 2024 On Fake News Detection with LLM Enhanced Semantics Mining EMNLP 2024 Revisiting Score Propagation in Graph Out-of-Distribution Detection NeurIPS 2024 Sterling: Synergistic Representation Learning on Bipartite Graphs AAAI 2024 Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning AAAI 2023 GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs EMNLP 2023 Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation NeurIPS 2023 Towards Self-Interpretable Graph-Level Anomaly Detection NeurIPS 2023 BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs NeurIPS 2022 Few-Shot Learning on Graphs IJCAI 2022 Meta Propagation Networks for Graph Few-shot Semi-supervised Learning AAAI 2022 Fact-Enhanced Synthetic News Generation AAAI 2021 Learning to Selectively Learn for Weakly-supervised Paraphrase Generation EMNLP 2021 Be More with Less: Hypergraph Attention Networks for Inductive Text Classification EMNLP 2020 Inductive Anomaly Detection on Attributed Networks IJCAI 2020 InterSpot: Interactive Spammer Detection in Social Media IJCAI 2019