◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

L. Zeng

4 papers hereh-index 214 citations5 works total

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

author position
  • sole author2
  • first author1
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • astro-ph.IM1
same name
  • L. Zeng — 40 papers, h 17
  • L. Zeng — 33 papers, h 16
  • L. Zeng — 18 papers, h 19
  • L. Zeng — 11 papers, h 19
  • L. Zeng — 8 papers, h 15
  • L. Zeng — 8 papers, h 18

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

most citedLeveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis

4 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

astro-ph.IM2026

Design and Performance of 220 and 270 GHz Bandpass Filters for BICEP Array

A. Steiger, The BICEP/Keck Collaboration, P. A. R. Ade +90

The BICEP Array (BA) is the latest in the BICEP/ Keck series of experiments that aim to measure the polarization of the cosmic microwave background (CMB) with small aperture polari…

cs.CL2026★ 1 cited

Bringing Up a Bilingual BabyLM: Investigating Multilingual Language Acquisition Using Small-Scale Models

Linda Zeng, Steven Y. Feng, Michael C. Frank

Multilingualism is incredibly common around the world, leading to many important theoretical and practical questions, including whether multilingual acquisition leads to delays in…

cs.CL2024★ 4 cited

Leveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis

Linda Zeng

Code-mixing (CM), where speakers blend languages within a single expression, is prevalent in multilingual societies but poses challenges for natural language processing due to its…

cs.CL2024

Generative-Adversarial Networks for Low-Resource Language Data Augmentation in Machine Translation

Linda Zeng

Neural Machine Translation (NMT) systems struggle when translating to and from low-resource languages, which lack large-scale data corpora for models to use for training. As manual…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.