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IndicGenBench: A Multilingual Benchmark to Evaluate Generation…
An example from each task, the number of languages for which we collect evaluation data (divided by resourcefulness, higher (H), medium (M) and low (L)), and the number of training/validation/test instances per task is shown above.
Proceedings of the 2023 Conference on Empirical Methods in…
Large-scale natural language processing models have been developed and integrated into numerous applications, given the advantage of their remarkable performance.
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Sunayana Sitaram - ACL Anthology
Large language models (LLMs) have revolutionized various domains but still struggle with non-Latin scripts and low-resource languages.
From Pretraining Data to Language Models to Downstream Tasks:
Tracking the Trails of Political Biases Leading to Unfair NLP Models
Pang Wei Koh
How can we expand our access to foundation models, so that we can better understand, build upon, and adapt them? We develop new methods, architectures, and data for efficiently training and deploying fully open models.
Multiple LLM Agents Debate for Equitable Cultural Alignment
Dayeon Ki Rachel Rudinger Tianyi Zhou Marine Carpuat
Browse by Additional Information - Unimas Institutional…
Suara Sarawak, - (2020) 1,576 saringan Covid-19 sehari. [Newspaper Cutting] (In Press)
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