Papers by Benjamin Hoover
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models (2020.acl-demos)
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| Challenge: | Large Transformer-based language models can route and reshape complex information via their multi-headed attention mechanism. |
| Approach: | They propose a tool to help humans conduct flexible, interactive investigations and formulate hypotheses for the model-internal reasoning process. |
| Outcome: | Using exBERT, we can analyze the representations and attentions of large language models and extend them to previously not analyzed models. |
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models (2023.acl-long)
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| Challenge: | Recent advances in diffusion models have enabled high-quality image generation . generating images with desired details requires proper prompts . |
| Approach: | They analyze syntactic and semantic characteristics of diffusion models and their prompts . they pinpoint specific hyperparameter values and prompt styles that can lead to model errors . |
| Outcome: | The first large-scale text-to-image prompt dataset totals 6.5TB . it contains 14 million images generated by Stable Diffusion, 1.8 million unique prompts, and hyperparameters specified by real users. |
LMdiff: A Visual Diff Tool to Compare Language Models (2021.emnlp-demo)
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| Challenge: | LMdiff visually compares probability distributions of two different language models . notably absent from the range of available tools are those that aim to compare distributions produced by different models. |
| Approach: | They propose a tool that visually compares probability distributions of two different language models that differ through finetuning, distillation, or simply training with different parameter sizes. |
| Outcome: | The proposed tool allows the generation of hypotheses about model behavior by investigating text instances token by token and further assists in choosing interesting text instances from large corpora. |