Annotations

Recent momentum

-48%

11 papers in the last 28 days · 0.2% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this topic, kept on the site without email delivery.

Period ending 2026-09-21

2 new papers

A weekly snapshot of new work published in Annotations.

Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Annotations.

Period ending 2026-09-07

5 new papers

A weekly snapshot of new work published in Annotations.

147 papers

Latest in Annotations

  1. IMPACTeen: Intentions, Manipulation, Persuasion, Annotations, and Consequences in Teen Communication Dataset

    Jun 15, 2026Aleksander Szczęsny, Wiktoria Mieleszczenko-Kowszewicz, Maciej Markiewicz +5Social InfluenceChildren

  2. eCREAM-MedCorpus A Large-Scale Corpus of Clinical Notes for Italian

    Jun 10, 2026Tiziano Labruna, Guido Bertolini, Pietro Ferrazzi +1Clinical NotesText Corpora

  3. P1SCO: Social Dimensions from a Perspectivist Lens

    May 25, 2026Amanda Cercas Curry, Gianmarco de Francisci Morales, Luca Maria AielloSocial MediaReddit

  4. Large Language Model Selection with Limited Annotations

    May 24, 2026Yavuz Durmazkeser, Patrik Okanovic, Andreas Kirsch +2Large LanguageLarge Language Models(Llms

  5. iPOE: Interpretable Prompt Optimization via Explanations

    May 18, 2026Jiahui Li, Yarik Menchaca Resendiz, Sean Papay +1Prompt EngineeringPrompt Optimization

  6. Position: Early-Stage Quality Assurance in Annotation Pipelines Is More Cost-Effective Than Late-Stage Validation

    May 15, 2026Sunil Kothari, Sumukha Sharma Thoppanahalli Chandramouli, Naman Khandelwal +8Data QualityAnnotations

  7. Viverra: Text-to-Code with Guarantees

    May 14, 2026Haoze Wu, Rocky Klopfenstein, Keith Farkas +1Code GenerationSystemverilog Assertions

  8. Are Candidate Models Really Needed for Active Learning?

    May 14, 2026Harshini Mridula Mohan, Maanya Manjunath, Vipul Arya +2Active LearningConvolutional Neural Networks

  9. Annotations Mitigate Post-Training Mode Collapse

    May 11, 2026Jacob Mitchell Springer, Madhu Advani, Lukas Aichberger +7LLM Post-Training MethodsModel Pretraining