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Zeming Chen

Swiss Federal Institute of Technology Lausanne;Allen Institute for AI;Rose-Hulman Institute of Technology

13 papers hereh-index 11759 citations17 works total

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

author position
  • sole author1
  • first author7
  • middle author5

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL13
affiliations
  • Swiss Federal Institute of Technology Lausanne;Allen Institute for AI;Rose-Hulman Institute of Technology
  • Indiana University
Homepage
same name
  • Zeming Chen — 8 papers, h 4
  • Zeming Chen — 1 paper, h 1
  • Zeming Chen — 1 paper, h 1
  • Zeming Chen — 1 paper, h 3

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
20212026
most citedMEDITRON-70B: Scaling Medical Pretraining for Large Language Models

123 citations · 140 across the 12 of their papers we have counts for

collaborators
Showing 2021 · cs.CLShow all

4 papers · 2 filters

cs.CL2021★ 1 cited

Probing Linguistic Information For Logical Inference In Pre-trained Language Models

Zeming Chen, Qiyue Gao

Progress in pre-trained language models has led to a surge of impressive results on downstream tasks for natural language understanding. Recent work on probing pre-trained language…

cs.CL2021★ 4 cited

NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning

Zeming Chen, Qiyue Gao, Lawrence S. Moss

Deep learning (DL) based language models achieve high performance on various benchmarks for Natural Language Inference (NLI). And at this time, symbolic approaches to NLI are recei…

cs.CL2021★ 4 cited

Monotonicity Marking from Universal Dependency Trees

Zeming Chen, Qiyue Gao

Dependency parsing is a tool widely used in the field of Natural language processing and computational linguistics. However, there is hardly any work that connects dependency parsi…

cs.CL2021★ 1 cited

Attentive Tree-structured Network for Monotonicity Reasoning

Zeming Chen

Many state-of-art neural models designed for monotonicity reasoning perform poorly on downward inference. To address this shortcoming, we developed an attentive tree-structured neu…

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