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## Proposal
Typically, interrupted time series (ITS) designs are univariate in that there is a single outcome variable. An existing example in the docs examines the causal impact of the onset of covi…
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Putting all this in a metaissue. Here is some feedback and notes on the causal chapter:
The two biggest bits of feedback I have:
1. I feel like you are skirting around the assumptions issue. You k…
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Hi Next-gen Kaldi team,
Thank you once again for your continuous support and patience with our Japanese ASR recipe and model developments.
We're currently training the streaming model based on o…
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### Motivation.
As vllm supports more and more models and functions, they require different attention, scheduler, executor, and input output processor. . These modules are becoming increasingly com…
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# Expected Behavior
Embedding text with a long-context model like BGE-M3 [1] should be able to output token embeddings for more than 512 tokens (this is of interest for 'late interaction' retrieval…
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As suggested by @thomaspd, we should only show the most relevant (i.e., causal) GO-CAM models on the GO-CAM browser site.
I believe a fast way (perhaps we could call it a hack) to implement this is…
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### Feature request
LoRAX currently only supports text generation models (e.g., causal language models). It lacks support for sequence classification models like `AutoModelForSequenceClassification`.…
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Is it better to use PIP or Bayes factor for variable selection? I saw that the paper gives the option of computing Bayes factor of some null models. Would PIP or the Bayes factor give better result of…
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Something is wrong with your twitter account, can’t reply or @ you, let me know other form of contact, your question is interesting. Im interested.
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https://aclanthology.org/2022.conll-1.8/ : Causal Analysis of Syntactic Agreement Neurons
in Multilingual Language Model