Ravichander, Abhilasha

Measuring and improving consistency in pretrained language models

Elazar, Y., Kassner, N., Ravfogel, S., Ravichander, A., Hovy, E., Schütze, H., & Goldberg, Y. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 220

Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?

Ravichander, A., Belinkov, Y., & Hovy, E. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 133

Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?

Ravichander, A., Belinkov, Y., & Hovy, E. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

Topic ModelingNatural Language Processing Techniques

Cited by 132

OLMo: Accelerating the Science of Language Models

Groeneveld, D., Beltagy, I., Walsh, E., Bhagia, A., Kinney, R., Tafjord, O., Jha, A., Ivison, H., Magnusson, I., Wang, Y., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 70

Dolma: an open corpus of three trillion tokens for language model pretraining research

Soldaini, L., Kinney, R., Bhagia, A., Schwenk, D., Atkinson, D., Authur, R., Bogin, B., Chandu, K., Dumas, J., Elazar, Y., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 56

Exploring Numeracy in Word Embeddings

Naik, A., Ravichander, A., Rose, C., & Hovy, E. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 49

Agent Lumos: Unified and Modular Training for Open-Source Language Agents

Yin, D., Brahman, F., Ravichander, A., Chandu, K., Chang, K.-W., Choi, Y., & Lin, B. Y. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesSpeech and dialogue systems

Cited by 17

HALoGEN: Fantastic LLM Hallucinations and Where to Find Them

Ravichander, A., Ghela, S., Wadden, D., & Choi, Y. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 13

HALoGEN: Fantastic LLM Hallucinations and Where to Find Them

Ravichander, A., Ghela, S., Wadden, D., & Choi, Y. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning

Lin, B. Y., Ravichander, A., Lu, X., Dziri, N., Sclar, M., Chandu, K., Bhagavatula, C., & Choi, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 11

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Soldaini, L., Kinney, R., Bhagia, A., Schwenk, D., Atkinson, D., Authur, R., Bogin, B., Chandu, K., Dumas, J., Elazar, Y., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

OLMo: Accelerating the Science of Language Models

Groeneveld, D., Beltagy, I., Walsh, P., Bhagia, A., Kinney, R., Tafjord, O., Jha, A. H., Ivison, H., Magnusson, I., Wang, Y., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

What's In My Big Data?

Elazar, Y., Bhagia, A., Magnusson, I., Ravichander, A., Schwenk, D., Suhr, A., Walsh, P., Groeneveld, D., Soldaini, L., Singh, S., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries

Zhao, W., Goyal, T., Chiu, Y. Y., Jiang, L., Newman, B., Ravichander, A., Chandu, K., Bras, R. L., Cardie, C., Deng, Y., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild

Lin, B. Y., Deng, Y., Chandu, K., Brahman, F., Ravichander, A., Pyatkin, V., Dziri, N., Bras, R. L., & Choi, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4