Chong Zhang
4 papers · Latest:
Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
BST-CDSR improves cross-domain sequential recommendation by modeling time-aware behavioral and semantic preferences using ODEs and LLMs.
TwoHamsters: Benchmarking Multi-Concept Compositional Unsafety in Text-to-Image Models
TwoHamsters benchmarks "Multi-Concept Compositional Unsafety" in T2I models, showing current defenses fail to prevent unsafe content from benign concept combinations.
GPT-4 Technical Report
GPT-4 is a large-scale multimodal Transformer model achieving human-level performance on professional and academic benchmarks through advanced training and alignment techniques.
Training language models to follow instructions with human feedback
This paper presents InstructGPT, a method to align language models with user intent by fine-tuning GPT-3 using human feedback, resulting in more truthful, helpful, and less toxic outputs.
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