Multimodal AI Failures Traced to Sampling Defaults, Not Model Capability
Multimodal AI systems in production often underperform not because of weak reasoning but due to flawed preprocessing decisions made before data reaches the model. Frame rate, chunk length…
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Verbalized Sampling: A Training-Free Method to Mitigate Mode Collapse and Improve LLM Output Diversity
Post-training alignment often reduces LLM diversity, leading to a phenomenon known as mode collapse. Unlike prior work that attributes this
arxiv.org·13d agoVerbalized Sampling: A Training-Free Method to Mitigate Mode Collapse and Improve LLM Output Diversity
Post-training alignment often reduces LLM diversity, leading to a phenomenon known as mode collapse. Unlike prior work that attributes this
arxiv.org·13d ago
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