2 papers
cs.CV2025
Generative diffusion models for agricultural AI: plant image generation, indoor-to-outdoor translation, and expert preference alignment
Da Tan, Michael Beck, Christopher P. Bidinosti +2
The success of agricultural artificial intelligence depends heavily on large, diverse, and high-quality plant image datasets, yet collecting such data in real field conditions is c…
cs.CL2025
Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs
Jan Betley, Daniel Tan, Niels Warncke +5
We present a surprising result regarding LLMs and alignment. In our experiment, a model is finetuned to output insecure code without disclosing this to the user. The resulting mode…