2 papers
cs.LG2026
Rethinking CD: A Reproducibility Study and Extension on the Ineffectiveness of Contrastive Decoding at Mitigating Object Hallucinations in MLLMs
Arnav Bendre, Guneesh Gupta, Kavish Grover +2
Contrastive decoding (CD) has been proposed as a training-free strategy for mitigating object hallucinations in multimodal large language models (MLLMs), with reported gains on ben…
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…