Search Results for author: Ethan C. Chau

Found 5 papers, 3 papers with code

Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents

no code implementations27 Feb 2024 Corby Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao

We show that users spend a lot of ``effort'' on these questions in terms of signals like clicks and session length, and that they are also challenging for GPT-4.

Known Unknowns Question Answering +1

Dodo: Dynamic Contextual Compression for Decoder-only LMs

no code implementations3 Oct 2023 Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme

For example, in the autoencoding task, Dodo shrinks context at a 20x compression ratio with a BLEU score of 98% for reconstruction, achieving nearly lossless encoding.

Decoder Language Modeling +2

Automatic Pair Construction for Contrastive Post-training

1 code implementation3 Oct 2023 Canwen Xu, Corby Rosset, Ethan C. Chau, Luciano del Corro, Shweti Mahajan, Julian McAuley, Jennifer Neville, Ahmed Hassan Awadallah, Nikhil Rao

Remarkably, our automatic contrastive post-training further improves the performance of Orca, already a state-of-the-art instruction learning model tuned with GPT-4 outputs, to outperform ChatGPT.

Specializing Multilingual Language Models: An Empirical Study

1 code implementation EMNLP (MRL) 2021 Ethan C. Chau, Noah A. Smith

Pretrained multilingual language models have become a common tool in transferring NLP capabilities to low-resource languages, often with adaptations.

Dependency Parsing named-entity-recognition +5

Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank

1 code implementation Findings of the Association for Computational Linguistics 2020 Ethan C. Chau, Lucy H. Lin, Noah A. Smith

Pretrained multilingual contextual representations have shown great success, but due to the limits of their pretraining data, their benefits do not apply equally to all language varieties.

Dependency Parsing

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