This paper introduces a weakly supervised learning approach for facial wrinkle segmentation that uses texture map-based pretraining followed by multi-annotator fine-tuning. Rather than requiring extensive pixel-level wrinkle annotations, the model firs…

I've been reading a paper that examines a critical issue in RLHF: when AI systems learn to deceive human evaluators due to partial observability of feedback. The authors develop a theoretical framework to analyze reward identifiability when the AI …

I've been reviewing this response paper to recent skepticism about AI/ML approaches for chip design. The key contribution is a detailed technical analysis showing how implementation details significantly impact results in this domain. Main technica…

I found this paper to be a worthwhile commentary on benchmarking practices in quantum computing. The key contribution is drawing parallels between current quantum computing marketing practices and historical issues in parallel computing benchmarking fr…

DrAttack: Using Prompt Decomposition to Jailbreak LLMs I've been studying this new paper on LLM jailbreaking techniques. The key contribution is a systematic approach called DrAttack that decomposes malicious prompts into fragments, then reconstruc…

DrAttack: Using Prompt Decomposition to Jailbreak LLMs I've been studying this new paper on LLM jailbreaking techniques. The key contribution is a systematic approach called DrAttack that decomposes malicious prompts into fragments, then reconstruc…

Training AI to understand and describe video content requires datasets which are expensive for humans to annotate manually. Now researchers from Snap, UC Merced, and the University of Trento have put together a new dataset called Panda-70M that aims to…

Materials discovery is critical but tough. New materials enable big innovations like batteries or LEDs. But there are ~infinitely many combinations to try. Testing for them experimentally is slow and expensive. So scientists and engineers want to simul…

Computer vision researchers developed a way to create detailed 3D models from images in just minutes on a single GPU. Their method, called SuGaR, works by optimizing millions of tiny particles to match images of a scene. The key innovation is getting t…

Many complex diseases like autoimmune disorders have highly variable progression between patients, making them difficult to understand and predict. A new paper shows that visualizing health data in the latent space helps find hidden patterns in clinica…