Xiangyu Zhao

CHiRPE: A Step Towards Real-World Clinical NLP with Clinician-Oriented Model Explanations EACL 2026 Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory ACL 2026 MTA:A Merge-then-Adapt Framework for Personalized Large Language Models ACL 2026 GeoArena: Evaluating Open-World Geographic Reasoning in Large Vision-Language Models ACL 2026 Select Before Use: On the Importance of Reference Model Selection in Preference Alignment ACL 2026 MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs ACL 2026 MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search ACL 2026 Renormalization Group Guided Tensor Network Structure Search AAAI 2026 Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization AAAI 2026 Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval AAAI 2026 RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models AAAI 2026 Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection AAAI 2026 GenieBlue: Integrating both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices ICCV 2025 GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching AAAI 2025 POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning AAAI 2025 LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation AAAI 2025 SIGMA: Selective Gated Mamba for Sequential Recommendation AAAI 2025 LLM-Powered User Simulator for Recommender System AAAI 2025 Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation AAAI 2025 Rethinking Large Language Model Architectures for Sequential Recommendations AACL 2025 Stepwise Reasoning Disruption Attack of LLMs ACL 2025 Redundancy Principles for MLLMs Benchmarks ACL 2025 OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference ACL 2025 LLMs Trust Humans More, That’s a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation ACL 2025 Training-free LLM Merging for Multi-task Learning ACL 2025 AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration ACL 2025 Model Merging for Knowledge Editing ACL 2025 Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation ACL 2025 The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing ACL 2025 A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs ACL 2025 LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations COLING 2025 Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language CVPR 2025 MM-IFEngine: Towards Multimodal Instruction Following ICCV 2025 Creation-MMBench: Assessing Context-Aware Creative Intelligence in MLLMs ICCV 2025 WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning ICLR 2025 Rethinking Large Language Model Architectures for Sequential Recommendations IJCNLP 2025 LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation NIPS 2024 UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation EMNLP 2024 Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding EMNLP 2024 Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification ICML 2024 KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation IJCAI 2024 Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases IJCAI 2024 EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs ACL 2024 Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets MICCAI 2024 MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion NAACL 2024 MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding NIPS 2024 G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models NIPS 2024 Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation NIPS 2024 Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors NIPS 2024 Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models COLING 2024 Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NIPS 2024 D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations AAAI 2024 DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model NIPS 2023 SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis NIPS 2023 AutoSTL: Automated Spatio-Temporal Multi-Task Learning AAAI 2023 An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations NIPS 2023 KuaiSim: A Comprehensive Simulator for Recommender Systems NIPS 2023 XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information NIPS 2023 Multi-Type Urban Crime Prediction AAAI 2022 MLP4Rec: A Pure MLP Architecture for Sequential Recommendations IJCAI 2022 Automated Self-Supervised Learning for Graphs ICLR 2022 DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems AAAI 2021 A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation EMNLP 2019 A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation IJCNLP 2019