#energy-based-models2 articles

2 articles

AIBullisharXiv – CS AI · 5h ago1

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CoBELa: Steering Transparent Generation via Concept Bottlenecks on Energy Landscapes

Researchers introduce CoBELa, a new AI framework for interpretable image generation that uses concept bottlenecks on energy landscapes to enable transparent, controllable synthesis without requiring decoder retraining. The system achieves strong performance on benchmark datasets while allowing users to compositionally manipulate concepts through energy function combinations.

AIBullisharXiv – CS AI · 5h ago1

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Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy

Researchers introduce Energy Landscape Steering (ELS), a new framework that reduces false refusals in AI safety-aligned language models without compromising security. The method uses an external Energy-Based Model to dynamically guide model behavior during inference, improving compliance from 57.3% to 82.6% on safety benchmarks.