activity
20172025
most citedLow-dimensional Embeddings for Interpretable Anchor-based Topic Inference

11 citations · 11 across the 3 of their papers we have counts for

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7 papers · 1 filter

cs.CL2025

Looking for the Inner Music: Probing LLMs' Understanding of Literary Style

Rebecca M. M. Hicke, David Mimno

Recent work has demonstrated that language models can be trained to identify the author of much shorter literary passages than has been thought feasible for traditional stylometry.…

cs.CL2022

Breaking BERT: Evaluating and Optimizing Sparsified Attention

Siddhartha Brahma, Polina Zablotskaia, David Mimno

Transformers allow attention between all pairs of tokens, but there is reason to believe that most of these connections - and their quadratic time and memory - may not be necessary…

cs.CL2021

Comparing Text Representations: A Theory-Driven Approach

Gregory Yauney, David Mimno

Much of the progress in contemporary NLP has come from learning representations, such as masked language model (MLM) contextual embeddings, that turn challenging problems into simp…

cs.CL2020

Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents

Gregory Yauney, Jack Hessel, David Mimno

Images can give us insights into the contextual meanings of words, but current image-text grounding approaches require detailed annotations. Such granular annotation is rare, expen…

cs.CL2020

Topic Modeling with Contextualized Word Representation Clusters

Laure Thompson, David Mimno

Clustering token-level contextualized word representations produces output that shares many similarities with topic models for English text collections. Unlike clusterings of vocab…

cs.CL2019

Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents

Jack Hessel, Lillian Lee, David Mimno

Images and text co-occur constantly on the web, but explicit links between images and sentences (or other intra-document textual units) are often not present. We present algorithms…