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A small library for training multimodal LLMs combining text, vision, and audio
A small, hackable toolkit for probing multimodal LLMs — attention, hidden states, alignment, and causal tracing.
Content-aware frame sampling strategies for video-LLMs.
Probe and compare the prosody (pitch / energy / duration) of TTS outputs.
Spatial-VQA-Bench: a focused benchmark of spatial visual reasoning for multimodal LLMs.
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Benchmark for LLM-based ASR n-best rescoring (ngram, neural-LM, MLM-PLL, LLM-prompt strategies).
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Claude Code skill that turns 'make me a chart' into a Tufte-compliant chart. Distilled from Edward Tufte's three foundational books.
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PRISM-VL studies measurement-grounded VLM learning with RAW-derived Meas.-XYZ inputs, camera-conditioned grounding, and exposure-bracketed supervision transfer.
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