Georgios Chochlakis

According to our database1, Georgios Chochlakis authored at least 15 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
Large Language Models Do Multi-Label Classification Differently.
CoRR, May, 2025

Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts.
CoRR, May, 2025

Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Larger Language Models Don't Care How You Think: Why Chain-of-Thought Prompting Fails in Subjective Tasks.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
A Multi-Perspective Machine Learning Approach to Evaluate Police-Driver Interaction in Los Angeles.
CoRR, 2024

Tackling Missing Modalities in Audio-Visual Representation Learning Using Masked Autoencoders.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

CVAT-BWV: A Web-Based Video Annotation Platform for Police Body-Worn Video.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition.
Proceedings of the 12th International Conference on Affective Computing and Intelligent Interaction, 2024

2023
Using Emotion Embeddings to Transfer Knowledge between Emotions, Languages, and Annotation Formats.
Proceedings of the IEEE International Conference on Acoustics, 2023

Leveraging Label Correlations in a Multi-Label Setting: a Case Study in Emotion.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
VAuLT: Augmenting the Vision-and-Language Transformer with the Propagation of Deep Language Representations.
CoRR, 2022

CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
End-to-end Generative Zero-shot Learning via Few-shot Learning.
CoRR, 2021

2020
Generating Elevation Surface from a Single RGB Remotely Sensed Image Using Deep Learning.
Remote. Sens., 2020


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