Ammanamanchi, Pawan Sasanka

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

Gehrmann, S., Adewumi, T., Aggarwal, K., Ammanamanchi, P. S., Aremu, A., Bosselut, A., Chandu, K. R., Clinciu, M.-A., Das, D., Dhole, K., et al. (2021) · Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021)

Natural Language Processing TechniquesTopic Modeling

Cited by 159

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

Gehrmann, S., Adewumi, T., Aggarwal, K., Ammanamanchi, P. S., Anuoluwapo, A., Bosselut, A., Chandu, K. R., Clinciu, M., Das, D., Dhole, K. D., et al. (2021) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 49

Lessons from the Trenches on Reproducible Evaluation of Language Models

Biderman, S., Schoelkopf, H., Sutawika, L., Gao, L., Tow, J., Abbasi, B., Aji, A. F., Ammanamanchi, P. S., Black, S., Clive, J., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

Stay on topic with Classifier-Free Guidance

Sanchez, G., Fan, H., Spangher, A., Levi, E., Ammanamanchi, P. S., & Biderman, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation

Akhtar, M., Reuel, A., Soni, P., Ahuja, S., Ammanamanchi, P. S., Rawal, R., Zouhar, V., Yadav, S., Whitehouse, C., Ki, D., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3