Xing Xie
- Papers
- 29
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Authored papers
29Proact-VL: A Proactive VideoLLM for Real-Time AI Companions
arXiv 2026
Unleashing the Potential of Large Language Models for Text-to-Image Generation through Autoregressive Representation Alignment
arXiv 2025
MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions
arXiv 2025
TrustLLM: Trustworthiness in Large Language Models
arXiv 2024
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels
arXiv 2024
Dynamic Evaluation of Large Language Models by Meta Probing Agents
arXiv 2024
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
arXiv 2024
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds
arXiv 2024
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
arXiv 2024
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
arXiv 2023
A Survey on Evaluation of Large Language Models
arXiv 2023
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning
ICCV 2023 1
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
arXiv 2023
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity
arXiv 2023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis
ICCV 2023 1
PromptBench: A Unified Library for Evaluation of Large Language Models
arXiv 2023
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
arXiv 2023
IRGen: Generative Modeling for Image Retrieval
arXiv 2023
Supervised Knowledge Makes Large Language Models Better In-context Learners
arXiv 2023
CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models
arXiv 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
arXiv 2022
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval
arXiv 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
arXiv 2022
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings
arXiv 2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
arXiv 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation
fuse-it-more-deeply-a-variational-transformer
Cooperative Retriever and Ranker in Deep Recommenders
arXiv 2022
Fastformer: Additive Attention Can Be All You Need
arXiv 2021
Matching-oriented Product Quantization For Ad-hoc Retrieval
arXiv 2021
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