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Found 7 papers, 5 papers with code
Outlier Dimensions Encode Task-Specific Knowledge
Representations from large language models (LLMs) are known to be dominated by a small subset of dimensions with exceedingly high variance.
SSE: A Metric for Evaluating Search System Explainability
Explainable Information Retrieval (XIR) is a growing research area focused on enhancing transparency and trustworthiness of the complex decision-making processes taking place in modern information retrieval systems.
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents
Recent work has shown that infusing layout features into language models (LMs) improves processing of visually-rich documents such as scientific papers.
Re-evaluating the Need for Multimodal Signals in Unsupervised Grammar Induction
Are multimodal inputs necessary for grammar induction?
Evaluating Search Explainability with Psychometrics and Crowdsourcing
Information retrieval (IR) systems have become an integral part of our everyday lives.
Constructing Taxonomies from Pretrained Language Models
The tree reconciliation module treats the task as a graph optimization problem and outputs the maximum spanning tree of this graph.
Learning to Perform Role-Filler Binding with Schematic Knowledge
We can perform these bindings for arbitrary fillers -- we understand this sentence even if we have never heard the names "Alice," "tea," or "Bob" before.
