Yang Zhang
- Papers
- 60
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Authored papers
60How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings
arXiv 2026
FlowCompile: An Optimizing Compiler for Structured LLM Workflows
arXiv 2026
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
preprint
R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement Learning
arXiv 2025
Large Language Models for Recommendation with Deliberative User Preference Alignment
arXiv 2025
Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approach
arXiv 2025
VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding Manipulation
arXiv 2025
PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs
arXiv 2025
CommVQ: Commutative Vector Quantization for KV Cache Compression
arXiv 2025
Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction
arXiv 2025
Safety at Scale: A Comprehensive Survey of Large Model Safety
arXiv 2025
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
arXiv 2025
Token-level Accept or Reject: A Micro Alignment Approach for Large Language Models
arXiv 2025
Fast-Decoding Diffusion Language Models via Progress-Aware Confidence Schedules
arXiv 2025
Lost in the Mix: Evaluating LLM Understanding of Code-Switched Text
arXiv 2025
Language-Enhanced Representation Learning for Single-Cell Transcriptomics
arXiv 2025
Steering LLM Thinking with Budget Guidance
arXiv 2025
Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization
arXiv 2025
ScanBot: Towards Intelligent Surface Scanning in Embodied Robotic Systems
arXiv 2025
Towards Interactive Deepfake Analysis
arXiv 2025
DeepSeek-V3 Technical Report
arXiv 2024
RULER: What's the Real Context Size of Your Long-Context Language Models?
arXiv 2024
Seed-TTS: A Family of High-Quality Versatile Speech Generation Models
arXiv 2024
Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media
arXiv 2024
Personalized Image Generation with Large Multimodal Models
arXiv 2024
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
arXiv 2024
VGMShield: Mitigating Misuse of Video Generative Models
arXiv 2024
Towards Understanding Unsafe Video Generation
arXiv 2024
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
arXiv 2024
decoupleQ: Towards 2-bit Post-Training Uniform Quantization via decoupling Parameters into Integer and Floating Points
arXiv 2024
Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming
arXiv 2024
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
arXiv 2024
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling
arXiv 2024
Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective
arXiv 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
arXiv 2024
On the Generalization Ability of Machine-Generated Text Detectors
arXiv 2024
ProgressGym: Alignment with a Millennium of Moral Progress
arXiv 2024
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models
arXiv 2024
ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities
arXiv 2024
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
arXiv 2023
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
arXiv 2023
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis
ICCV 2023 1
Generated Graph Detection
arXiv 2023
MGTBench: Benchmarking Machine-Generated Text Detection
arXiv 2023
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models
arXiv 2023
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
arXiv 2023
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers
arXiv 2023
Prompt Stealing Attacks Against Text-to-Image Generation Models
arXiv 2023
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models
arXiv 2023
NL2TL: Transforming Natural Languages to Temporal Logics using Large Language Models
arXiv 2023
Correcting Diffusion Generation through Resampling
CVPR 2024 1
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
arXiv 2023
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
NAACL 2022 7
Linking Emergent and Natural Languages via Corpus Transfer
linking-emergent-and-natural-languages-via
Data Poisoning Attacks Against Multimodal Encoders
arXiv 2022
PromptBoosting: Black-Box Text Classification with Ten Forward Passes
arXiv 2022
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers
arXiv 2022
Model Stealing Attacks Against Inductive Graph Neural Networks
arXiv 2021
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
arXiv 2019
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
a-theoretical-explanation-for-perplexing-1
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