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Lisa Yu

2 accepted papers

2026

No, of Course I Can! Deeper Fine-Tuning Attacks That Bypass Token-Level Safety Mechanisms

ICLR 2026poster

Leading language model (LM) providers like OpenAI and Anthopic allow customers to fine-tune frontier LMs for specific use cases. To prevent abuse, these providers apply filters to block fine-tuning on overtly harmful data. In this setting, we make three contributions: First, while past work has show…

Cited by 0SourceScholar
2025

KGGen: Extracting Knowledge Graphs from Plain Text with Language Models

NeurIPS 2025poster

Recent interest in building foundation models for knowledge graphs has highlighted a fundamental challenge: knowledge graph data is scarce. The best-known knowl- edge graphs are primarily human-labeled, created by pattern-matching, or extracted using early NLP techniques. While human-generated knowl…

Cited by 0SourcecodeScholar