Enhong Chen

Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration ACL 2026 Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory ACL 2026 LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring ACL 2026 Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning AAAI 2026 Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data ACL 2026 SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility ACL 2026 To Paraphrase or Not: Efficient Comment Detoxification with Unsupervised Detoxifiability Discrimination EACL 2026 VIGIL: Defending LLM Agents Against Tool-Stream Injection via Verify-Before-Commit ACL 2026 CogMath: Assessing LLMs’ Authentic Mathematical Ability from a Human Cognitive Perspective ICML 2025 Explore What LLM Does Not Know in Complex Question Answering AAAI 2025 From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models ICML 2025 Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation AAAI 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking ICML 2025 Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration CVPR 2025 iPET: An Interactive Emotional Companion Dialogue System with LLM-Powered Virtual Pet World Simulation ACL 2025 MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality ACL 2025 Multi-Branch Self-Drafting for LLM Inference Acceleration AAAI 2025 Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model AAAI 2025 Position: AI Evaluation Should Learn from How We Test Humans ICML 2025 RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery ACL 2025 Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models ACL 2025 Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination EMNLP 2025 SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment EMNLP 2025 TestAgent: An Adaptive and Intelligent Expert for Human Assessment ACL 2025 ToolACE: Winning the Points of LLM Function Calling ICLR 2025 Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment ICLR 2025 Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis CVPR 2025 What Makes In-context Learning Effective for Mathematical Reasoning ICML 2025 ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs EMNLP 2024 A Unified Adaptive Testing System Enabled by Hierarchical Structure Search ICML 2024 Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model NeurIPS 2024 Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition EMNLP 2024 Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations AAAI 2024 Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024 Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure NeurIPS 2024 Generative Input: Towards Next-Generation Input Methods Paradigm ACL 2024 Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding EMNLP 2024 In-Context Former: Lightning-fast Compressing Context for Large Language Model EMNLP 2024 Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation ICML 2024 Learning from Highly Sparse Spatio-temporal Data NeurIPS 2024 Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process IJCAI 2024 Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization ACL 2024 Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding EMNLP 2024 MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction COLING 2024 Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models COLING 2024 OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting EMNLP 2024 Pre-training General User Representation with Multi-type APP Behaviors IJCAI 2024 Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation EMNLP 2024 SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models NeurIPS 2024 Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation NeurIPS 2024 Towards Explainable Computerized Adaptive Testing with Large Language Model EMNLP 2024 VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation NeurIPS 2024 Visualization Recommendation with Prompt-based Reprogramming of Large Language Models ACL 2024 A Bounded Ability Estimation for Computerized Adaptive Testing NeurIPS 2023 Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective NeurIPS 2023 BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023 Enhancing Hierarchical Text Classification through Knowledge Graph Integration ACL 2023 Exploiting Non-Interactive Exercises in Cognitive Diagnosis IJCAI 2023 FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NeurIPS 2023 Federated Nearest Neighbor Machine Translation ICLR 2023 KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification IJCAI 2023 Knowledge Distillation for High Dimensional Search Index NeurIPS 2023 Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests ICML 2023 Query-Aware Quantization for Maximum Inner Product Search AAAI 2023 RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs ACL 2023 The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks ACL 2023 Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training AAAI 2023 Anisotropic Additive Quantization for Fast Inner Product Search AAAI 2022 Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever NeurIPS 2022 DARE: Disentanglement-Augmented Rationale Extraction NeurIPS 2022 Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy NeurIPS 2022 Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis ACL 2022 Non-Parametric Domain Adaptation for End-to-End Speech Translation EMNLP 2022 Recommender Forest for Efficient Retrieval NeurIPS 2022 Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation CVPR 2022 VIRT: Improving Representation-based Text Matching via Virtual Interaction EMNLP 2022 Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty AAAI 2021 Cross Attention Augmented Transducer Networks for Simultaneous Translation EMNLP 2021 Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer AAAI 2021 DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis ICCV 2021 GraphMI: Extracting Private Graph Data from Graph Neural Networks IJCAI 2021 HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem AAAI 2021 Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification AAAI 2021 Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching AAAI 2021 Preference-Adaptive Meta-Learning for Cold-Start Recommendation IJCAI 2021 Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness IJCAI 2021 A Variational Point Process Model for Social Event Sequences AAAI 2020 Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model AAAI 2020 Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation AAAI 2020 Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection AAAI 2020 Incorporating BERT into Parallel Sequence Decoding with Adapters NeurIPS 2020 Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation ACL 2020 Neural Cognitive Diagnosis for Intelligent Education Systems AAAI 2020 Sampling-Decomposable Generative Adversarial Recommender NeurIPS 2020 Semi-Supervised Neural Architecture Search NeurIPS 2020 Towards Explainable Conversational Recommendation IJCAI 2020 Budgeted Policy Learning for Task-Oriented Dialogue Systems ACL 2019 Co-Attentive Multi-Task Learning for Explainable Recommendation IJCAI 2019 DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching AAAI 2019 Efficient Pure Exploration in Adaptive Round model NeurIPS 2019 Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective AAAI 2019 Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach IJCAI 2019 Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference IJCAI 2019 Interactive Attention Transfer Network for Cross-Domain Sentiment Classification AAAI 2019 Trend-Aware Tensor Factorization for Job Skill Demand Analysis IJCAI 2019 Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions ICLR 2019 Bidirectional Generative Adversarial Networks for Neural Machine Translation CoNLL 2018 Multi-Path Transport for RDMA in Datacenters NSDI 2018 Neural Architecture Optimization NeurIPS 2018 Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data IJCAI 2018 SADAGRAD: Strongly Adaptive Stochastic Gradient Methods ICML 2018 Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective IJCAI 2017 Incremental Matrix Factorization: A Linear Feature Transformation Perspective IJCAI 2017 Stack-based Multi-layer Attention for Transition-based Dependency Parsing EMNLP 2017 Chinese Poetry Generation with Planning based Neural Network COLING 2016 Cognitive Modelling for Predicting Examinee Performance IJCAI 2015 Matrix Factorization with Scale-Invariant Parameters IJCAI 2015 Maximizing the Coverage of Information Propagation in Social Networks IJCAI 2015 Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective IJCAI 2015 A Probabilistic Model for Learning Multi-Prototype Word Embeddings COLING 2014 A Dataset for Research on Short-Text Conversations EMNLP 2013 PageRank with Priors: An Influence Propagation Perspective IJCAI 2013 Image Denoising and Inpainting with Deep Neural Networks NeurIPS 2012 Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier CoNLL 2010 An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling CoNLL 2009 Probabilistic Model for Syntactic and Semantic Dependency Parsing CoNLL 2008