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Found 2 papers, 1 papers with code
MMMT-IF: A Challenging Multimodal Multi-Turn Instruction Following Benchmark
When all the instructions are also appended to the end of the model input context, the $\operatorname{PIF}$ metric improves by 22. 3 points on average, showing that the challenge with the task lies not only in following the instructions, but also in retrieving the instructions spread out in the model context.
Simple Hardware-Efficient Long Convolutions for Sequence Modeling
We find that a key requirement to achieving high performance is keeping the convolution kernels smooth.
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