Hupkes, Dieuwke
Meta (United States)
9 papers on CoChat
Most cited papers
- Verified
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 569
- Verified
The Llama 3 Herd of Models
Grattafiori, A., Dubey, A., Jauhri, A., Pandey, A., Kadian, A., Al-Dahle, A., Letman, A., Mathur, A., Schelten, A., Vaughan, A., et al. (2024) · arXiv
Fault Detection and Control SystemsAnomaly Detection Techniques and Applications
Cited by 505
- Verified
Compositionality Decomposed: How do Neural Networks Generalise?
Hupkes, D., Dankers, V., Mul, M., & Bruni, E. (2020) · Journal of Artificial Intelligence Research
Natural Language Processing TechniquesTopic Modeling
Cited by 194
- Verified
Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Singh, A. K., Kocyigit, M. Y., Poulton, A., Esiobu, D., Lomeli, M., Szilvasy, G., & Hupkes, D. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 16
- Verified
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Nathani, D., Madaan, L., Roberts, N., Bashlykov, N., Menon, A., Moens, V., Budhiraja, A., Magka, D., Vorotilov, V., Chaurasia, G., et al. (2025) · arXiv
Artificial Intelligence ApplicationsReinforcement Learning in Robotics
Cited by 15
- Verified
Visualisation and 'Diagnostic Classifiers' Reveal How Recurrent and Recursive Neural Networks Process Hierarchical Structure
Hupkes, D., Veldhoen, S., & Zuidema, W. (2018) · Journal of Artificial Intelligence Research
Explainable Artificial Intelligence (XAI)Neural Networks and Applications
Cited by 14
- Verified
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges
Thakur, A. S., Choudhary, K., Ramayapally, V. S., Vaidyanathan, S., & Hupkes, D. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 8
- Verified
Causal Transformers Perform Below Chance on Recursive Nested Constructions, Unlike Humans
Lakretz, Y., Desbordes, T., Hupkes, D., & Dehaene, S. (2021) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 4
- Verified
Quantifying Variance in Evaluation Benchmarks
Madaan, L., Singh, A. K., Schaeffer, R., Poulton, A., Koyejo, S., Stenetorp, P., Narang, S., & Hupkes, D. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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