← Authors

Xueqi Cheng

153 papers · 2009–2026 · 14 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (14) πŸƒ Academic Marathon (16) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8) πŸ—ΊοΈ Taxonomy Completionist (29) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (20) 🧬 Topic Evolution πŸ† Keyword Champion πŸ† Grand Slam πŸ”¬ Deep Specialist (18) 🀝 Dynamic Duo (72) πŸ“ˆ Trend Setter ❓ The Questioner (5) ⚑ Prolific Year (14) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (70) πŸ’Ž Century Club (150) πŸ”₯ Unstoppable (11)

Conferences

EMNLP (36) ACL (34) AAAI (22) COLING (14) IJCAI (12) ICLR (7) NAACL (7) NIPS (7) IJCNLP (5) CVPR (3) EACL (2) ICML (2) ACML (1) ICCV (1)

Top co-authors

Jiafeng Guo (74) Huawei Shen (47) Xiaolong Jin (31) Liang Pang (29) Yanyan Lan (23) Ruqing Zhang (18) Long Bai (18) Shenghua Liu (16) Zixuan Li (16) Saiping Guan (15)

Keywords

large language model (32) information retrieval (12) retrieval-augmented generation (11) event detection (7) reinforcement learning (7) knowledge distillation (7) text generation (7) temporal knowledge graph (7) representation learning (6) language model (6) knowledge editing (5) link prediction (5) graph neural network (5) recurrent neural network (5) knowledge base (5) few-shot learning (5) question answering (5) knowledge graph reasoning (4) model compression (4) knowledge graph (4)

Papers

Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration EACL 2026
RLKD: Distilling LLMs’ Reasoning via Reinforcement Learning AAAI 2026
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning AAAI 2026
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
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models ICLR 2025
NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations ICCV 2025
A Generative Framework for Personalized Sticker Retrieval EMNLP 2025
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory EMNLP 2025
Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction EMNLP 2025
A Survey of Link Prediction in N-ary Knowledge Graphs EMNLP 2025
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective EMNLP 2025
BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training EMNLP 2025
Jailbreak LLMs through Internal Stance Manipulation EMNLP 2025
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
Speculative Safety-Aware Decoding EMNLP 2025
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment EMNLP 2025
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs EMNLP 2025
Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation EMNLP 2025
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models EMNLP 2025
T-MAD: Target-driven Multimodal Alignment for Stance Detection EMNLP 2025
MPRF: Interpretable Stance Detection through Multi-Path Reasoning Framework EMNLP 2025
Inductive Link Prediction in N-ary Knowledge Graphs COLING 2025
Large Language Model-Based Event Relation Extraction with Rationales COLING 2025
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation COLING 2025
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models COLING 2025
β€œNot Aligned” is Not β€œMalicious”: Being Careful about Hallucinations of Large Language Models’ Jailbreak COLING 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
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models ICLR 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification ICLR 2025
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation ICLR 2025
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness ICLR 2025
SLANG: New Concept Comprehension of Large Language Models EMNLP 2024
Generative Retrieval Meets Multi-Graded Relevance NIPS 2024
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation NIPS 2024
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense NIPS 2024
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion AAAI 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
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse ACL 2024
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval ACL 2024
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation ACL 2024
Class-Incremental Few-Shot Event Detection COLING 2024
Few-shot Link Prediction on Hyper-relational Facts COLING 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
TEA: Test-time Energy Adaptation CVPR 2024
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method 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
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework EMNLP 2024
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs EMNLP 2024
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities EMNLP 2024
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance ICLR 2024
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue NAACL 2024
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation ACL 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
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval ACL 2023
Semantic Structure Enhanced Event Causality Identification ACL 2023
A Provable Framework of Learning Graph Embeddings via Summarization AAAI 2023
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training NIPS 2023
Prompt Tuning with Contradictory Intentions for Sarcasm Recognition EACL 2023
Learning Adversarially Robust Sparse Networks via Weight Reparameterization AAAI 2023
Rich Event Modeling for Script Event Prediction AAAI 2023
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
A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty CVPR 2022
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning ACL 2022
Visual Named Entity Linking: A New Dataset and A Baseline EMNLP 2022
Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection EMNLP 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
MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities IJCAI 2022
Adaptive Information Seeking for Open-Domain Question Answering EMNLP 2021
Transformation Driven Visual Reasoning CVPR 2021
Transductive Learning for Unsupervised Text Style Transfer EMNLP 2021
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs ACL 2021
Integrating Deep Event-Level and Script-Level Information for Script Event Prediction EMNLP 2021
Self-Supervised GANs with Label Augmentation NIPS 2021
Sketch and Customize: A Counterfactual Story Generator AAAI 2021
Slimmable Generative Adversarial Networks AAAI 2021
AugSplicing: Synchronized Behavior Detection in Streaming Tensors AAAI 2021
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field AAAI 2021
Learning to Truncate Ranked Lists for Information Retrieval AAAI 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods NIPS 2021
SDGNN: Learning Node Representation for Signed Directed Networks AAAI 2021
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs IJCNLP 2021
Link Prediction between Group Entities in Knowledge Graphs (Student Abstract) AAAI 2020
Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract) AAAI 2020
Structure Learning for Headline Generation AAAI 2020
FlowScope: Spotting Money Laundering Based on Graphs AAAI 2020
Evaluating Natural Language Generation via Unbalanced Optimal Transport IJCAI 2020
Beyond Language: Learning Commonsense from Images for Reasoning EMNLP 2020
NeuInfer: Knowledge Inference on N-ary Facts ACL 2020
Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings COLING 2020
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation ICML 2020
An Adaptive Framework for Conversational Question Answering AAAI 2019
Event Detection with Multi-Order Graph Convolution and Aggregated Attention IJCNLP 2019
Graph Wavelet Neural Network ICLR 2019
Event Detection with Multi-Order Graph Convolution and Aggregated Attention EMNLP 2019
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering AAAI 2019
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning IJCAI 2019
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series IJCAI 2019
Teaching Machines to Extract Main Content for Machine Reading Comprehension AAAI 2019
Differentiated Distribution Recovery for Neural Text Generation AAAI 2019
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation ACL 2019
Soft Contextual Data Augmentation for Neural Machine Translation ACL 2019
Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation IJCAI 2018
Efficient Sequence Learning with Group Recurrent Networks NAACL 2018
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation IJCAI 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
Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention ACL 2018
Exploiting Contextual Information via Dynamic Memory Network for Event Detection EMNLP 2018
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network IJCAI 2017
Locally Smoothed Neural Networks ACML 2017
Learning Concise Representations of Users' Influences through Online Behaviors IJCAI 2017
Cross-Domain Recommendation: An Embedding and Mapping Approach IJCAI 2017
Predict Anchor Links across Social Networks via an Embedding Approach IJCAI 2016
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN 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 IJCNLP 2009
Improving SCL Model for Sentiment-Transfer Learning NAACL 2009
Graph Ranking for Sentiment Transfer ACL 2009