Tag: multimodal models
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ProjLens: Enhancing Safety in Multimodal Models
Discover how ProjLens improves multimodal model safety by exposing backdoor vulnerabilities and boosting robustness in large language models.
DASB: Benchmark for Discrete Audio and Speech Tokens
Explore DASB, a comprehensive benchmark for evaluating discrete audio and speech tokens across diverse tasks in audio and language processing.
Enhancing Physics Problem Solving with Retrieval-Augmented Models
Discover how retrieval-augmented generation boosts foundation models in solving Olympiad-level physics problems using the PhoPile dataset.
CLASP: Efficient Pruning for Multimodal Large Language Models
Discover CLASP's class-adaptive fusion and dual-stage pruning to boost efficiency in multimodal large language models while reducing computational costs.
Decoding by Perturbation: Reducing MLLM Hallucinations
Discover Decoding by Perturbation, a training-free method that mitigates hallucinations in multimodal large language models by dynamic textual perturbation...