Xueqi Cheng

Distilling Large Embeddings via Hyperspherical Householder Quantization ACL 2026 Modeling Human-Like Cognition for Stance Detection: Integrating Intuitive Judgment and Analytical Reasoning ACL 2026 Detoxification for LLM: From Dataset Itself ACL 2026 The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis ACL 2026 Gated Differentiable Working Memory for Long-Context Language Modeling ACL 2026 HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router ACL 2026 Projecting Out the Malice: A Global Subspace Approach to LLM Detoxification ACL 2026 Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation ACL 2026 Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration EACL 2026 Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning AAAI 2026 RLKD: Distilling LLMs’ Reasoning via Reinforcement Learning AAAI 2026 BaseCal: Unsupervised Confidence Calibration via Base Model Signals ACL 2026 Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models ACL 2026 Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models AAAI 2025 Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation EMNLP 2025 Jailbreak LLMs through Internal Stance Manipulation EMNLP 2025 BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training EMNLP 2025 Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective EMNLP 2025 A Survey of Link Prediction in N-ary Knowledge Graphs EMNLP 2025 Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction EMNLP 2025 QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory EMNLP 2025 A Generative Framework for Personalized Sticker Retrieval EMNLP 2025 NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations ICCV 2025 Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness ICLR 2025 Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models ICLR 2025 Speculative Safety-Aware Decoding EMNLP 2025 Text2Sql: Pure Fine-Tuning and Pure Knowledge Distillation NAACL 2025 Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject NAACL 2025 SafetyQuizzer: Timely and Dynamic Evaluation on the Safety of LLMs NAACL 2025 ALiiCE: Evaluating Positional Fine-grained Citation Generation NAACL 2025 MPVStance: Mitigating Hallucinations in Stance Detection with Multi-Perspective Verification ACL 2025 Can Graph Descriptive Order Affect Solving Graph Problems with LLMs? ACL 2025 The Mirage of Model Editing: Revisiting Evaluation in the Wild ACL 2025 Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts ACL 2025 ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models ACL 2025 Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception ACL 2025 Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution ACL 2025 Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective ACL 2025 The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems ACL 2025 Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector ACL 2025 KnowCoder-X: Boosting Multilingual Information Extraction via Code ACL 2025 G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models ACL 2025 “Not Aligned” is Not “Malicious”: Being Careful about Hallucinations of Large Language Models’ Jailbreak COLING 2025 MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models COLING 2025 Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation COLING 2025 Large Language Model-Based Event Relation Extraction with Rationales COLING 2025 Inductive Link Prediction in N-ary Knowledge Graphs COLING 2025 CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification ICLR 2025 Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models ICLR 2025 A Theory for Token-Level Harmonization in Retrieval-Augmented Generation ICLR 2025 MPRF: Interpretable Stance Detection through Multi-Path Reasoning Framework EMNLP 2025 T-MAD: Target-driven Multimodal Alignment for Stance Detection EMNLP 2025 Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models EMNLP 2025 Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation EMNLP 2025 Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs EMNLP 2025 Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment EMNLP 2025 Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework EMNLP 2024 CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense NIPS 2024 The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse ACL 2024 LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs EMNLP 2024 Class-Incremental Few-Shot Event Detection COLING 2024 Few-shot Link Prediction on Hyper-relational Facts COLING 2024 Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation ACL 2024 Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? ACL 2024 KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction ACL 2024 Plot Retrieval as an Assessment of Abstract Semantic Association ACL 2024 MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning ACL 2024 LPNL: Scalable Link Prediction with Large Language Models ACL 2024 Nested Event Extraction upon Pivot Element Recognition COLING 2024 Qsnail: A Questionnaire Dataset for Sequential Question Generation COLING 2024 Selective Temporal Knowledge Graph Reasoning COLING 2024 Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue NAACL 2024 Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method EMNLP 2024 SLANG: New Concept Comprehension of Large Language Models EMNLP 2024 Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration EMNLP 2024 RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts EMNLP 2024 PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion AAAI 2024 Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation NIPS 2024 Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024 A Topological Perspective on Demystifying GNN-Based Link Prediction Performance ICLR 2024 Generative Retrieval Meets Multi-Graded Relevance NIPS 2024 When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation ACL 2024 Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval ACL 2024 TEA: Test-time Energy Adaptation CVPR 2024 Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities EMNLP 2024 A Provable Framework of Learning Graph Embeddings via Summarization AAAI 2023 Temporal Knowledge Graph Reasoning Based on N-tuple Modeling EMNLP 2023 LLMDet: A Third Party Large Language Models Generated Text Detection Tool EMNLP 2023 RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling EMNLP 2023 MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space EMNLP 2023 From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification EMNLP 2023 Rich Event Modeling for Script Event Prediction AAAI 2023 Learning Adversarially Robust Sparse Networks via Weight Reparameterization AAAI 2023 Prompt Tuning with Contradictory Intentions for Sarcasm Recognition EACL 2023 BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval ACL 2023 SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation ACL 2023 Semantic Structure Enhanced Event Causality Identification ACL 2023 Augmentation-Aware Self-Supervision for Data-Efficient GAN Training NIPS 2023 A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty CVPR 2022 HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning EMNLP 2022 Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases COLING 2022 MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification COLING 2022 Conditional GANs with Auxiliary Discriminative Classifier ICML 2022 Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection EMNLP 2022 MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities IJCAI 2022 Visual Named Entity Linking: A New Dataset and A Baseline EMNLP 2022 Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning ACL 2022 Sketch and Customize: A Counterfactual Story Generator AAAI 2021 Self-Supervised GANs with Label Augmentation NIPS 2021 Uncertainty Calibration for Ensemble-Based Debiasing Methods NIPS 2021 SDGNN: Learning Node Representation for Signed Directed Networks AAAI 2021 Learning to Truncate Ranked Lists for Information Retrieval AAAI 2021 Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field AAAI 2021 AugSplicing: Synchronized Behavior Detection in Streaming Tensors AAAI 2021 Slimmable Generative Adversarial Networks AAAI 2021 Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs ACL 2021 Transformation Driven Visual Reasoning CVPR 2021 Transductive Learning for Unsupervised Text Style Transfer EMNLP 2021 Adaptive Information Seeking for Open-Domain Question Answering EMNLP 2021 Integrating Deep Event-Level and Script-Level Information for Script Event Prediction EMNLP 2021 Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs IJCNLP 2021 NeuInfer: Knowledge Inference on N-ary Facts ACL 2020 Evaluating Natural Language Generation via Unbalanced Optimal Transport IJCAI 2020 Beyond Language: Learning Commonsense from Images for Reasoning EMNLP 2020 On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation ICML 2020 Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings COLING 2020 FlowScope: Spotting Money Laundering Based on Graphs AAAI 2020 Structure Learning for Headline Generation AAAI 2020 Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract) AAAI 2020 Link Prediction between Group Entities in Knowledge Graphs (Student Abstract) AAAI 2020 Graph Wavelet Neural Network ICLR 2019 Event Detection with Multi-Order Graph Convolution and Aggregated Attention EMNLP 2019 Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning IJCAI 2019 BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series IJCAI 2019 Event Detection with Multi-Order Graph Convolution and Aggregated Attention IJCNLP 2019 Differentiated Distribution Recovery for Neural Text Generation AAAI 2019 Soft Contextual Data Augmentation for Neural Machine Translation ACL 2019 ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation ACL 2019 An Adaptive Framework for Conversational Question Answering AAAI 2019 Teaching Machines to Extract Main Content for Machine Reading Comprehension AAAI 2019 HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering AAAI 2019 Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation IJCAI 2018 Exploiting Contextual Information via Dynamic Memory Network for Event Detection EMNLP 2018 Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention ACL 2018 Tailored Sequence to Sequence Models to Different Conversation Scenarios ACL 2018 Learning to Control the Specificity in Neural Response Generation ACL 2018 NeuCast: Seasonal Neural Forecast of Power Grid Time Series IJCAI 2018 Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation IJCAI 2018 Efficient Sequence Learning with Group Recurrent Networks NAACL 2018 Cross-Domain Recommendation: An Embedding and Mapping Approach IJCAI 2017 Learning Concise Representations of Users' Influences through Online Behaviors IJCAI 2017 Locally Smoothed Neural Networks ACML 2017 Cascade Dynamics Modeling with Attention-based Recurrent Neural Network IJCAI 2017 Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN IJCAI 2016 Predict Anchor Links across Social Networks via an Embedding Approach IJCAI 2016 Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations IJCNLP 2015 Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations ACL 2015 A Self-learning Template Approach for Recognizing Named Entities from Web Text IJCNLP 2013 Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NIPS 2012 MIEA: a Mutual Iterative Enhancement Approach for Cross-Domain Sentiment Classification COLING 2010 Graph Ranking for Sentiment Transfer ACL 2009 Graph Ranking for Sentiment Transfer IJCNLP 2009 Improving SCL Model for Sentiment-Transfer Learning NAACL 2009