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20182026
most citedNeural Polysynthetic Language Modelling

13 citations · 18 across the 6 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2026

Do Agents Need to Plan Step-by-Step? Rethinking Planning Horizon in Data-Centric Tool Calling

Naoki Otani, Nikita Bhutani, Hannah Kim +2

Explicit planning is a critical capability for LLM-based agents solving complex data-centric tasks, which require precise tool calling over external data sources. Existing strategi…

cs.CL20241 cited

Natural Language Processing for Human Resources: A Survey

Naoki Otani, Nikita Bhutani, Estevam Hruschka

Advances in Natural Language Processing (NLP) have the potential to transform HR processes, from recruitment to employee management. While recent breakthroughs in NLP have generate…

cs.CL202013 cited

Neural Polysynthetic Language Modelling

Lane Schwartz, Francis Tyers, Lori Levin +18

Research in natural language processing commonly assumes that approaches that work well for English and and other widely-used languages are "language agnostic". In high-resource la…

cs.CL20194 cited

The ARIEL-CMU Systems for LoReHLT18

Aditi Chaudhary, Siddharth Dalmia, Junjie Hu +27

This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery a…

cs.CL2018

Unsupervised Cross-lingual Transfer of Word Embedding Spaces

Ruochen Xu, Yiming Yang, Naoki Otani +1

Cross-lingual transfer of word embeddings aims to establish the semantic mappings among words in different languages by learning the transformation functions over the corresponding…