Peng Wang

Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts AAAI 2026 Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models AAAI 2026 Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts ACL 2026 Exploring Layer Activation Dynamic of CoT via Knowledge Probe ACL 2026 On the Role of Discriminative Models in Generative Relation Extraction ACL 2026 Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation AAAI 2026 Acquisition and Application of Novel Knowledge in Large Language Models ACL 2025 Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction IJCAI 2025 LLM-Guided Semantic-Aware Clustering for Topic Modeling ACL 2025 On the Consistency of Commonsense in Large Language Models ACL 2025 PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation AAAI 2025 Boosting Textural NER with Synthetic Image and Instructive Alignment ACL 2024 ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context AAAI 2024 Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification IJCAI 2024 Fast and Continual Knowledge Graph Embedding via Incremental LoRA IJCAI 2024 Incorporating Schema-Aware Description into Document-Level Event Extraction IJCAI 2024 Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning IJCAI 2024 Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors IJCAI 2024 OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning AAAI 2024 Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction IJCAI 2024 Towards Continual Knowledge Graph Embedding via Incremental Distillation AAAI 2024 Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype AAAI 2024 Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction COLING 2024 Unveiling LoRA Intrinsic Ranks via Salience Analysis NeurIPS 2024 IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings AAAI 2023 Online Noisy Continual Relation Learning AAAI 2023 PasCore: A Chinese Overlapping Relation Extraction Model Based on Global Pointer Annotation Strategy IJCAI 2023 Revisiting Large Language Models as Zero-shot Relation Extractors EMNLP 2023 Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer IJCAI 2023 fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation AAAI 2023 Corner Affinity: A Robust Grouping Algorithm to Make Corner-guided Detector Great Again IJCAI 2022 FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework IJCAI 2022 HumanLiker: A Human-like Object Detector to Model the Manual Labeling Process NeurIPS 2022 Continual Neural Mapping: Learning an Implicit Scene Representation From Sequential Observations ICCV 2021 3D Part Guided Image Editing for Fine-Grained Object Understanding CVPR 2020 AutoRemover: Automatic Object Removal for Autonomous Driving Videos AAAI 2020 CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion AAAI 2020 ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving CVPR 2019 UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos CVPR 2019 DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map CVPR 2018 Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network ECCV 2018 LEGO: Learning Edge With Geometry All at Once by Watching Videos CVPR 2018 Occlusion Aware Unsupervised Learning of Optical Flow CVPR 2018 View Extrapolation of Human Body From a Single Image CVPR 2018 Supervised Kernel Descriptors for Visual Recognition CVPR 2013