2 papers
cs.LG2026
Rethinking the Effectiveness of Contrastive Decoding in Mitigating Hallucinations in MLLMs
Arnav Bendre, Guneesh Gupta, Kavish Grover +2
Multimodal large language models frequently describe objects that are not present in an image. Contrastive decoding has become a widely used inference-time remedy, and it is assume…
cs.LG2026
B-DENSE: Branching For Dense Ensemble Network Supervision Efficiency
Cherish Puniani, Tushar Kumar, Arnav Bendre +2
Inspired by non-equilibrium thermodynamics, diffusion models have achieved state-of-the-art performance in generative modeling. However, their iterative sampling nature results in…