Xiangyu Zhao
66 papers · 2019–2026 · 14 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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The Questioner
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Venues
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Research topics
Machine Learning
(47)
Artificial Intelligence
(44)
Core AI
(39)
Deep Learning
(31)
Learning Types Β· Machine Learning
(23)
Application Areas
(19)
Natural Language Processing
(18)
Core Methods
(16)
Data Science & Analytics
(12)
Applications
(12)
Learning Types Β· Deep Learning
(12)
Architectures
(11)
Models
(11)
Resources & Methods
(10)
Learning Paradigms
(9)
Keywords
large language model
(19)
sequential recommendation
(6)
multimodal large language model
(6)
recommender system
(5)
multimodal learning
(5)
diffusion model
(5)
reinforcement learning
(5)
retrieval-augmented generation
(5)
graph neural network
(4)
benchmark evaluation
(4)
supervised fine-tuning
(4)
multi-task learning
(3)
contrastive learning
(3)
image generation
(3)
model merging
(3)
language model
(3)
attention mechanism
(3)
parameter-efficient fine-tuning
(3)
bias mitigation
(3)
representation learning
(2)
Papers
ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning
CVPR 2026
Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization
AAAI 2026
CHiRPE: A Step Towards Real-World Clinical NLP with Clinician-Oriented Model Explanations
EACL 2026
Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection
AAAI 2026
GeoArena: Evaluating Open-World Geographic Reasoning in Large Vision-Language Models
ACL 2026
Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory
ACL 2026
MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
ACL 2026
MMBench-GUI: A Unified Hierarchical Evaluation Framework for Multi-Platform GUI Agents
CVPR 2026
MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs
ACL 2026
MTA:A Merge-then-Adapt Framework for Personalized Large Language Models
ACL 2026
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
AAAI 2026
RC-NF: Robot-Conditioned Normalizing Flow for Real-Time Anomaly Detection in Robotic Manipulation
CVPR 2026
Renormalization Group Guided Tensor Network Structure Search
AAAI 2026
RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models
AAAI 2026
Select Before Use: On the Importance of Reference Model Selection in Preference Alignment
ACL 2026
When Safety Collides: Resolving Multi-Category Harmful Conflicts in Text-to-Image Diffusion via Adaptive Safety Guidance
CVPR 2026
AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration
ACL 2025
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs
ACL 2025
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
CVPR 2025
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
ACL 2025
Creation-MMBench: Assessing Context-Aware Creative Intelligence in MLLMs
ICCV 2025
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
AAAI 2025
GenieBlue: Integrating both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices
ICCV 2025
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
AAAI 2025
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
AAAI 2025
LLM-Powered User Simulator for Recommender System
AAAI 2025
LLMs Trust Humans More, Thatβs a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation
ACL 2025
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
COLING 2025
MM-IFEngine: Towards Multimodal Instruction Following
ICCV 2025
Model Merging for Knowledge Editing
ACL 2025
OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference
ACL 2025
POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning
AAAI 2025
Redundancy Principles for MLLMs Benchmarks
ACL 2025
Rethinking Large Language Model Architectures for Sequential Recommendations
IJCNLP 2025
SIGMA: Selective Gated Mamba for Sequential Recommendation
AAAI 2025
Stepwise Reasoning Disruption Attack of LLMs
ACL 2025
The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing
ACL 2025
Training-free LLM Merging for Multi-task Learning
ACL 2025
WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning
ICLR 2025
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation
NeurIPS 2024
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
AAAI 2024
Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
NeurIPS 2024
EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs
ACL 2024
Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases
IJCAI 2024
Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets
MICCAI 2024
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
NeurIPS 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
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
NeurIPS 2024
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
NAACL 2024
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
EMNLP 2024
MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding
NeurIPS 2024
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models
COLING 2024
UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation
EMNLP 2024
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models
NeurIPS 2024
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations
NeurIPS 2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning
AAAI 2023
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model
NeurIPS 2023
KuaiSim: A Comprehensive Simulator for Recommender Systems
NeurIPS 2023
SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis
NeurIPS 2023
XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information
NeurIPS 2023
Automated Self-Supervised Learning for Graphs
ICLR 2022
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
IJCAI 2022
Multi-Type Urban Crime Prediction
AAAI 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