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Isaac Ong

2 accepted papers

2025

RouteLLM: Learning to Route LLMs from Preference Data

ICLR 2025poster

Large language models (LLMs) excel at a wide range of tasks, but choosing the right model often involves balancing performance and cost. Powerful models offer better results but are expensive, while smaller models are more cost-effective but less capable. To address this trade-off, we introduce a tr…

Cited by 45SourcePDFScholar
2024

Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game

ICLR 2024spotlight

While Large Language Models (LLMs) are increasingly being used in real-world applications, they remain vulnerable to *prompt injection attacks*: malicious third party prompts that subvert the intent of the system designer. To help researchers study this problem, we present a dataset of over 563,000…

Cited by 86SourcePDFScholar