Xueqi Cheng
- Papers
- 38
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Authored papers
38Prism-Δ: Differential Subspace Steering for Prompt Highlighting in Large Language Models
arXiv 2026
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models
arXiv 2025
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey
arXiv 2025
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models
arXiv 2025
A Survey of Vibe Coding with Large Language Models
arXiv 2025
Personalized Denoising Implicit Feedback for Robust Recommender System
arXiv 2025
Inference-time Alignment in Continuous Space
arXiv 2025
Fine-tuning Done Right in Model Editing
arXiv 2025
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse
arXiv 2024
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks
arXiv 2024
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective
arXiv 2024
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
arXiv 2024
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
arXiv 2024
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
arXiv 2024
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System
arXiv 2024
Are Large Language Models Good at Utility Judgments?
arXiv 2024
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
arXiv 2024
RIGHT: Retrieval-augmented Generation for Mainstream Hashtag Recommendation
arXiv 2023
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
arXiv 2023
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
arXiv 2023
Robust Recommender System: A Survey and Future Directions
arXiv 2023
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models
arXiv 2023
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
arXiv 2023
Nested Event Extraction upon Pivot Element Recogniton
arXiv 2023
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation
arXiv 2023
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images
arXiv 2023
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
arXiv 2023
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback
arXiv 2022
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models
arXiv 2022
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks
arXiv 2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
augmentation-aware-self-supervision-for-data
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction
arXiv 2022
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph
arXiv 2022
Semantic Models for the First-stage Retrieval: A Comprehensive Review
arXiv 2021
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval
arXiv 2021
Conditional GANs with Auxiliary Discriminative Classifier
conditional-gans-with-auxiliary
Self-Supervised GANs with Label Augmentation
NeurIPS 2021 12
Slimmable Generative Adversarial Networks
arXiv 2020
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