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researcher

Noah A. Smith

5 papers hereh-index 573 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI1
same name
  • Noah A. Smith — 88 papers, h 115
  • Noah A. Smith — 14 papers, h 12
  • Noah A. Smith — 12 papers, h 9
  • Noah A. Smith — 11 papers
  • Noah A. Smith — 11 papers, h 8
  • Noah A. Smith — 7 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedBLAB: Brutally Long Audio Bench

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

MameLoshnLM: Yiddish Language Model and Evaluation Benchmark

Uri Katz, Omer Goldman, Tomasz Limisiewicz +2

We present MameLoshnLM, the first open-source 8B-parameter language model built specifically for Yiddish. Despite Yiddish's rich textual tradition, its limited digital presence and…

cs.CL2024

MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization

Orevaoghene Ahia, Sachin Kumar, Hila Gonen +4

In multilingual settings, non-Latin scripts and low-resource languages are usually disadvantaged in terms of language models' utility, efficiency, and cost. Specifically, previous…

cs.CL2024

Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects

Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan +5

Yorùbá an African language with roughly 47 million speakers encompasses a continuum with several dialects. Recent efforts to develop NLP technologies for African languages have foc…

cs.CL2024

Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers

Kabir Ahuja, Vidhisha Balachandran, Madhur Panwar +4

Transformers trained on natural language data have been shown to learn its hierarchical structure and generalize to sentences with unseen syntactic structures without explicitly en…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.