Kaisheng Yao

MMMT-IF: A Challenging Multimodal Multi-Turn Instruction Following Benchmark

2024 · ArXiv.org

Evaluating instruction following capabilities for multimodal, multi-turn dialogue is challenging. With potentially multiple instructions in the input model context, the task is time-consuming for human raters and we show LLM based judges are biased towards …

Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion

2015 · arXiv (Cornell University)

Sequence-to-sequence translation methods based on generation with a side-conditioned language model have recently shown promising results in several tasks. In machine translation, models conditioned on source side words have been used to produce target-language text, …