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Found 4 papers, 3 papers with code
InRanker: Distilled Rankers for Zero-shot Information Retrieval
Despite multi-billion parameter neural rankers being common components of state-of-the-art information retrieval pipelines, they are rarely used in production due to the enormous amount of compute required for inference.
Probing LLMs for Joint Encoding of Linguistic Categories
Large Language Models (LLMs) exhibit impressive performance on a range of NLP tasks, due to the general-purpose linguistic knowledge acquired during pretraining.
Model Analysis & Evaluation for Ambiguous Question Answering
To this end, these models are required to generate long-form answers that often combine conflicting pieces of information.
VISION DIFFMASK: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking
The lack of interpretability of the Vision Transformer may hinder its use in critical real-world applications despite its effectiveness.
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