Zero-Shot Visualization: Exploring Text Corpora with User-Prompted Axes
cs.CL, cs.AI, cs.LG
Submitted: 2026-09-23
Updated: 2026-09-23
Sources
- Cycles of Thought: Measuring LLM Confidence through Stable Explanations
- Dataset Featurization: Uncovering Natural Language Features through Unsupervised Data Reconstruction
- Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification
- Distilling a Neural Network Into a Soft Decision Tree
- Distilling the Knowledge in a Neural Network
- Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
- SPLADE-v3: New baselines for SPLADE
- Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
- nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow
- Crafting Large Language Models for Enhanced Interpretability
- Visualization Generation with Large Language Models: An Evaluation
Related papers
- Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
- Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
- Subliminal Steering: Stronger Encoding of Hidden Signals
- MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
- The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
- Untangling the Mechanisms of Misleading Context in Medical Question Answering