Papers by Chaim Baskin
CARES: Context-Aware Resolution Selector for VLMs (2026.acl-long)
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| Challenge: | Large vision–language models process images at native or high resolution to remain effective across tasks. |
| Approach: | They propose a lightweight preprocessing module that predicts the minimum sufficient input resolution for large vision–language models. |
| Outcome: | CARES predicts when a pre-trained VLM's response converges to its peak ability to answer correctly, reducing compute by up to 80%. |
Jailbreak Attack Initializations as Extractors of Compliance Directions (2025.findings-emnlp)
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| Challenge: | Safety-aligned LLMs respond to prompts with compliance or refusal, each corresponding to distinct directions in the model’s activation space. |
| Approach: | They propose an initialization framework that aims to project unseen prompts further along compliance directions. |
| Outcome: | The proposed initialization framework achieves an increased attack success rate and reduced computational overhead, highlighting the fragility of safety-aligned LLMs. |