Xiao Luo

A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions ACL 2026 CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing AAAI 2026 FLAIR: Steering LLM Mathematical Problem Solving based on A Fuzzy-Logic-AssIsted Reasoner ACL 2026 InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning ACL 2026 SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models ACL 2026 STAR: Test-Time Adaptation Can Enhance Universal Prompt Learning for Vision-Language Models CVPR 2026 A Survey of RAG-Reasoning Systems in Large Language Models EMNLP 2025 A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025 Attention Bootstrapping for Multi-Modal Test-Time Adaptation AAAI 2025 DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning ICML 2025 DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval AAAI 2025 Embracing Large Language Models in Traffic Flow Forecasting ACL 2025 Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment ICCV 2025 FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation ACL 2025 GCAL: Adapting Graph Models to Evolving Domain Shifts ICML 2025 HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning EMNLP 2025 How Do Large Language Models Perform in Dynamical System Modeling NAACL 2025 How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective EMNLP 2025 Identifying Cellular Niches in Spatial Transcriptomics: An Investigation into the Capabilities of Large Language Models ACL 2025 LEAF: Large Language Diffusion Model for Time Series Forecasting EMNLP 2025 MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering ACL 2025 Marrying LLMs with Dynamic Forecasting: A Graph Mixture-of-expert Perspective NAACL 2025 Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness EMNLP 2025 NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration IJCAI 2025 Protein Large Language Models: A Comprehensive Survey EMNLP 2025 Rethink GraphODE Generalization within Coupled Dynamical System ICML 2025 scRAG: Hybrid Retrieval-Augmented Generation for LLM-based Cross-Tissue Single-Cell Annotation ACL 2025 Semi-supervised Fine-tuning for Large Language Models NAACL 2025 Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation ICML 2025 Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes ICML 2025 Towards Continuous Reuse of Graph Models via Holistic Memory Diversification ICLR 2025 TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs AAAI 2025 DEMO: A Statistical Perspective for Efficient Image-Text Matching NAACL 2024 DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption ICLR 2024 EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics NeurIPS 2024 Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval CVPR 2024 FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion ACL 2024 Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research EMNLP 2024 Hypergraph-enhanced Dual Semi-supervised Graph Classification ICML 2024 Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 2024 LION: Implicit Vision Prompt Tuning AAAI 2024 PGODE: Towards High-quality System Dynamics Modeling ICML 2024 Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NeurIPS 2024 Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE ICML 2024 PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling NeurIPS 2024 Rank and Align: Towards Effective Source-free Graph Domain Adaptation IJCAI 2024 Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data NeurIPS 2024 CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation NeurIPS 2023 CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification ICML 2023 Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains Interspeech 2023 GLCC: A General Framework for Graph-Level Clustering AAAI 2023 HOPE: High-order Graph ODE For Modeling Interacting Dynamics ICML 2023 IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval NeurIPS 2023 Parameter-efficient Tuning of Large-scale Multimodal Foundation Model NeurIPS 2023 Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval ICCV 2023 Semi-supervised Domain Adaptation in Graph Transfer Learning IJCAI 2023 AGRank: Augmented Graph-based Unsupervised Keyphrase Extraction AACL 2022 Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning NeurIPS 2022 Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval IJCAI 2022 InAction: Interpretable Action Decision Making for Autonomous Driving ECCV 2022 TGNN: A Joint Semi-supervised Framework for Graph-level Classification IJCAI 2022 AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions EMNLP 2021 CIMON: Towards High-quality Hash Codes IJCAI 2021 Covering Ambiguity Resolution in Chinese Word Segmentation Based on Contextual Information COLING 2002