The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference

Richard Brath, Daniel Keim, Johannes Knittel, Shimei Pan, Pia Sommerauer +1 more
1/11/2023
cs.CLcs.HC

No confident code implementation found for this paper. 2 possible matches can be shown below.

Abstract

With a constant increase of learned parameters, modern neural language models become increasingly more powerful. Yet, explaining these complex model's behavior remains a widely unsolved problem. In this paper, we discuss the role interactive visualization can play in explaining NLP models (XNLP). We motivate the use of visualization in relation to target users and common NLP pipelines. We also present several use cases to provide concrete examples on XNLP with visualization. Finally, we point out an extensive list of research opportunities in this field.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Visual Grounding Helps Learn Word Meanings in Low-Data Regimes

85% match1 repo102023

LLM-Assisted Visual Analytics: Opportunities and Challenges

85% match2024

AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making

84% match2023

Investigating the Encoding of Words in BERT's Neurons using Feature Textualization

84% match2023

Formal Aspects of Language Modeling

84% match2023

Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models

84% match1 repo2342023

Cite this paper

@article{brath2023role,
  title  = {The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference},
  author = {Richard Brath and Daniel Keim and Johannes Knittel and Shimei Pan and Pia Sommerauer and Hendrik Strobelt},
  year   = {2023},
  eprint = {2301.04528},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2301.04528v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2301.04528.svg)](https://codeofpaper.com/paper/2301.04528)

Discussion