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Anton Baumann

2 accepted papers

2026

Post-hoc Probabilistic Vision-Language Models

ICLR 2026poster

Vision-language models (VLMs), such as CLIP and SigLIP, have found remarkable success in classification, retrieval, and generative tasks. For this, VLMs deterministically map images and text descriptions to a joint latent space in which their similarity is assessed using the cosine similarity. Howev…

Cited by 0SourcecodeScholar
2026

Reinforcement Learning via Self-Distillation

ICML 2026poster

Large language models are increasingly post-trained with reinforcement learning in verifiable domains such as code and math. Yet, current methods for reinforcement learning with verifiable rewards (RLVR) learn only from a scalar outcome reward per attempt, creating a severe credit-assignment bottlen…

Cited by 0SourceScholar