Pengtao Xie

BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models ACL 2026 TokenTrace: Multi-Concept Attribution through Watermarked Token Recovery CVPR 2026 Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs EMNLP 2025 Defense against Prompt Injection Attacks via Mixture of Encodings NAACL 2025 Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning EMNLP 2025 Accelerating Transformers with Spectrum-Preserving Token Merging NeurIPS 2024 AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning NAACL 2024 BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation ICML 2024 Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts NAACL 2024 Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification ICML 2024 Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models ICML 2024 Betty: An Automatic Differentiation Library for Multilevel Optimization ICLR 2023 Fair and Accurate Decision Making through Group-Aware Learning ICML 2023 Improving Bi-level Optimization Based Methods with Inspiration from Humans’ Classroom Study Techniques ICML 2023 Improving Differentiable Neural Architecture Search by Encouraging Transferability ICLR 2023 Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering AAAI 2023 Learning Compiler Pass Orders using Coreset and Normalized Value Prediction ICML 2023 LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching NeurIPS 2023 Making Scalable Meta Learning Practical NeurIPS 2023 EViT: Expediting Vision Transformers via Token Reorganizations ICLR 2022 Graph Neural Architecture Search Under Distribution Shifts ICML 2022 Learning from Mistakes – a Framework for Neural Architecture Search AAAI 2022 MetaWeighting: Learning to Weight Tasks in Multi-Task Learning ACL 2022 Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search CVPR 2022 Saliency-Aware Neural Architecture Search NeurIPS 2022 Contrastive Self-supervised Learning for Graph Classification AAAI 2021 DSRNA: Differentiable Search of Robust Neural Architectures CVPR 2021 Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach AAAI 2021 On the Generation of Medical Dialogs for COVID-19 ACL 2021 Towards Visual Question Answering on Pathology Images ACL 2021 Generalized Zero-Shot Text Classification for ICD Coding IJCAI 2020 MedDialog: Large-scale Medical Dialogue Datasets EMNLP 2020 Multimodal Machine Learning for Automated ICD Coding MLHC 2019 Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering NeurIPS 2019 A Neural Architecture for Automated ICD Coding ACL 2018 Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition MLHC 2018 Nonoverlap-Promoting Variable Selection ICML 2018 On the Automatic Generation of Medical Imaging Reports ACL 2018 Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis ICML 2018 A Constituent-Centric Neural Architecture for Reading Comprehension ACL 2017 Deep Determinantal Point Process for Large-Scale Multi-Label Classification ICCV 2017 Improving the Generalization Performance of Multi-class SVM via Angular Regularization IJCAI 2017 Learning Latent Space Models with Angular Constraints ICML 2017 Uncorrelation and Evenness: a New Diversity-Promoting Regularizer ICML 2017 Diversity-Promoting Bayesian Learning of Latent Variable Models ICML 2016 Incorporating Word Correlation Knowledge into Topic Modeling NAACL 2015 Multi-Modal Distance Metric Learning IJCAI 2013