Editing Images to Probe Salience Effects on Human and AI Descriptions
AI & ML interests
We do research in all core areas of natural language processing, including morphology, parsing, semantics, discourse, language generation, and machine translation. EdinburghNLP also has a strong track record of work at the interface of NLP with other areas, including speech technology, machine learning, computer vision, cognitive modeling, social media, information retrieval, robotics, bioinformatics, and educational technology.
Recent Activity
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Papers
Chain-of-Thought Faithfulness of Reasoning Models Varies with Where and How Preference Cues Are Delivered
VLM-RobustBench: A Comprehensive Benchmark for Robustness of Vision-Language Models
datasets 9
EdinburghNLP/perceptual-saliency-pairs
Viewer • Updated • 1.09k • 199
EdinburghNLP/xsum
Viewer • Updated • 227k • 14.3k • 152
EdinburghNLP/europarl-de-en-long
Viewer • Updated • 100 • 13 • 1
EdinburghNLP/europarl-de-en-mini
Viewer • Updated • 231k • 38
EdinburghNLP/de-en-paracrawl-doc
Viewer • Updated • 813 • 22
EdinburghNLP/fr-en
Viewer • Updated • 9.67k • 29
EdinburghNLP/nunavut-hansard-plusplus
Viewer • Updated • 2.01M • 124
EdinburghNLP/south-african-lang-id
Viewer • Updated • 30k • 90
EdinburghNLP/orange_sum
Updated • 248 • 5