3 papers
cs.AI2025
VaPR -- Vision-language Preference alignment for Reasoning
Rohan Wadhawan, Fabrice Y Harel-Canada, Zi-Yi Dou +3
Preference finetuning methods like Direct Preference Optimization (DPO) with AI-generated feedback have shown promise in aligning Large Vision-Language Models (LVLMs) with human pr…
cs.CR2025
Sandcastles in the Storm: Revisiting the (Im)possibility of Strong Watermarking
Fabrice Y Harel-Canada, Boran Erol, Connor Choi +4
Watermarking AI-generated text is critical for combating misuse. Yet recent theoretical work argues that any watermark can be erased via random walk attacks that perturb text while…
cs.CL2024
Measuring Psychological Depth in Language Models
Fabrice Harel-Canada, Hanyu Zhou, Sreya Muppalla +4
Evaluations of creative stories generated by large language models (LLMs) often focus on objective properties of the text, such as its style, coherence, and diversity. While these…