Felix Drinkall

According to our database, Felix Drinkall authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks.

Felix Drinkall, Janet B. Pierrehumbert, Stefan Zohren

CoRR, February, 2025

Jailbreaking Large Language Models in Infinitely Many Ways.

Oliver Goldstein, Emanuele La Malfa, Felix Drinkall, Samuele Marro, Michael J. Wooldridge

CoRR, January, 2025

Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs.

Felix Drinkall, Janet B. Pierrehumbert, Stefan Zohren

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Stories that (are) Move(d by) Markets: A Causal Exploration of Market Shocks and Semantic Shifts across Different Partisan Groups.

Felix Drinkall, Stefan Zohren, Michael McMahon, Janet B. Pierrehumbert

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Language Models Learn Metadata: Political Stance Detection Case Study.

Stanley Cao, Felix Drinkall

CoRR, 2024

Traditional Methods Outperform Generative LLMs at Forecasting Credit Ratings.

Felix Drinkall, Janet B. Pierrehumbert, Stefan Zohren

CoRR, 2024

Time Machine GPT.

Felix Drinkall, Eghbal Rahimikia, Janet B. Pierrehumbert, Stefan Zohren

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2022

Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts.

Felix Drinkall, Stefan Zohren, Janet B. Pierrehumbert

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Predicting COVID-19 Cases using Reddit Posts and other Online Resources (short paper).

Felix Drinkall, Janet B. Pierrehumbert

Proceedings of the Swiss Text Analytics Conference 2021, Winterthur, 2021