Xing Xie

Influence-based Online Experience Selection for Effective RLHF ACL 2026 Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment ACL 2026 MMAC: A Multilingual, Multimodal Alignment Framework for Cultural Grounding Evaluation ACL 2026 Measuring Human Contribution in AI-Assisted Content Generation ACL 2026 IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization AAAI 2026 MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions AAAI 2026 Unleashing the Potential of Large Language Models for Text-to-Image Generation Through Autoregressive Representation Alignment AAAI 2026 CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds NAACL 2025 MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models? ACL 2025 Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs’ Value Evaluation ACL 2025 MoVa: Towards Generalizable Classification of Human Morals and Values EMNLP 2025 TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System NAACL 2025 Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights ACL 2025 Towards Better Value Principles for Large Language Model Alignment: A Systematic Evaluation and Enhancement ACL 2025 Pretraining Context Compressor for Large Language Models with Embedding-Based Memory ACL 2025 Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing ICML 2025 DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks ICLR 2024 DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING ICLR 2024 Dynamic Evaluation of Large Language Models by Meta Probing Agents ICML 2024 A General Framework for Learning from Weak Supervision ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 The Good, The Bad, and Why: Unveiling Emotions in Generative AI ICML 2024 CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents ICML 2024 ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models NIPS 2024 CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses NIPS 2024 Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NIPS 2024 CulturePark: Boosting Cross-cultural Understanding in Large Language Models NIPS 2024 CultureLLM: Incorporating Cultural Differences into Large Language Models NIPS 2024 Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations AAAI 2024 Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value NAACL 2024 KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models ACL 2024 Aligning Large Language Models for Controllable Recommendations ACL 2024 On the Vulnerability of Safety Alignment in Open-Access LLMs ACL 2024 CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models ACL 2024 IRGen: Generative Modeling for Image Retrieval ECCV 2024 SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization ECCV 2024 PromptBench: A Unified Library for Evaluation of Large Language Models JMLR 2024 On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models IJCAI 2024 Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization EMNLP 2024 Supervised Knowledge Makes Large Language Models Better In-context Learners ICLR 2024 PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization ICLR 2024 Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks ICLR 2024 Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models ICLR 2024 Bayesian Active Causal Discovery with Multi-Fidelity Experiments NIPS 2023 FedSampling: A Better Sampling Strategy for Federated Learning IJCAI 2023 V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs NIPS 2023 A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking NIPS 2023 Model-enhanced Vector Index NIPS 2023 ToViLaG: Your Visual-Language Generative Model is Also An Evildoer EMNLP 2023 Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval EMNLP 2023 To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion ACL 2023 Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark ACL 2023 DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation ACL 2023 GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ACL 2023 Learning on Large-scale Text-attributed Graphs via Variational Inference ICLR 2023 Towards Attack-tolerant Federated Learning via Critical Parameter Analysis ICCV 2023 Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning ICCV 2023 Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes AAAI 2023 Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective NIPS 2023 FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning ICLR 2023 SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning ICLR 2023 Out-of-distribution Representation Learning for Time Series Classification ICLR 2023 Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization ICLR 2023 KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation IJCAI 2023 Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation NAACL 2022 FedX: Unsupervised Federated Learning with Cross Knowledge Distillation ECCV 2022 A Joint Learning Framework for Restaurant Survival Prediction and Explanation EMNLP 2022 RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction EMNLP 2022 Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention EMNLP 2022 Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization EMNLP 2022 Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation EMNLP 2022 Towards Fine-Grained Reasoning for Fake News Detection AAAI 2022 Clickbait Detection via Contrastive Variational Modelling of Text and Label IJCAI 2022 USB: A Unified Semi-supervised Learning Benchmark for Classification NIPS 2022 FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning NIPS 2022 A Neural Corpus Indexer for Document Retrieval NIPS 2022 HousE: Knowledge Graph Embedding with Householder Parameterization ICML 2022 Self-explaining deep models with logic rule reasoning NIPS 2022 Effective and Efficient Query-aware Snippet Extraction for Web Search EMNLP 2022 HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation ACL 2021 GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph NIPS 2021 Fairness-aware News Recommendation with Decomposed Adversarial Learning AAAI 2021 PENS: A Dataset and Generic Framework for Personalized News Headline Generation ACL 2021 Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation EMNLP 2021 Matching-oriented Embedding Quantization For Ad-hoc Retrieval EMNLP 2021 Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021 Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search EMNLP 2021 User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation IJCAI 2021 Learning Groupwise Explanations for Black-Box Models IJCAI 2021 PENS: A Dataset and Generic Framework for Personalized News Headline Generation IJCNLP 2021 HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation IJCNLP 2021 Towards Explainable Conversational Recommendation IJCAI 2020 MIND: A Large-scale Dataset for News Recommendation ACL 2020 Graph Neural News Recommendation with Unsupervised Preference Disentanglement ACL 2020 Privacy-Preserving News Recommendation Model Learning EMNLP 2020 PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision EMNLP 2020 Fine-grained Interest Matching for Neural News Recommendation ACL 2020 Sampling-Decomposable Generative Adversarial Recommender NIPS 2020 Neural News Recommendation with Long- and Short-term User Representations ACL 2019 DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching AAAI 2019 Neural News Recommendation with Multi-Head Self-Attention EMNLP 2019 Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network EMNLP 2019 Neural News Recommendation with Heterogeneous User Behavior EMNLP 2019 Neural News Recommendation with Heterogeneous User Behavior IJCNLP 2019 Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network IJCNLP 2019 Neural News Recommendation with Multi-Head Self-Attention IJCNLP 2019 Explainable Recommendation through Attentive Multi-View Learning AAAI 2019 Session-Based Recommendation with Graph Neural Networks AAAI 2019 Neural News Recommendation with Topic-Aware News Representation ACL 2019 Personalized Multimedia Item and Key Frame Recommendation IJCAI 2019 Co-Attentive Multi-Task Learning for Explainable Recommendation IJCAI 2019 Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network IJCAI 2019 Neural News Recommendation with Attentive Multi-View Learning IJCAI 2019 Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation IJCAI 2019 Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems IJCAI 2019 Exploring Sequence-to-Sequence Learning in Aspect Term Extraction ACL 2019 Towards a Deep and Unified Understanding of Deep Neural Models in NLP ICML 2019 Sequential Recommender System based on Hierarchical Attention Networks IJCAI 2018 Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach IJCAI 2018 Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data IJCAI 2018 HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation COLING 2018 Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention EMNLP 2018 App Download Forecasting: An Evolutionary Hierarchical Competition Approach IJCAI 2017 Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory IJCAI 2017 Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback IJCAI 2016 Mobile Query Recommendation via Tensor Function Learning IJCAI 2015