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Pengcheng Yin

24 papers hereh-index 3214.2k citations109 works total

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

author position
  • first author7
  • middle author15
  • last author2

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CL14
  • cs.LG6
  • cs.AI1
  • cs.CV1
  • cs.SE1
  • stat.ML1
same name
  • Pengcheng Yin — 7 papers, h 5
  • Pengcheng Yin — 5 papers, h 5
  • Pengcheng Yin — 5 papers, h 5
  • Pengcheng Yin — 3 papers
  • Pengcheng Yin — 1 paper, h 5

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
20162023
most citedPaLM: Scaling Language Modeling with Pathways

2.1k citations · 2.8k across the 24 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019★ 1 cited

Merging Weak and Active Supervision for Semantic Parsing

Ansong Ni, Pengcheng Yin, Graham Neubig

A semantic parser maps natural language commands (NLs) from the users to executable meaning representations (MRs), which are later executed in certain environment to obtain user-de…

cs.SE2019★ 1 cited

DIRE: A Neural Approach to Decompiled Identifier Naming

Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz +4

The decompiler is one of the most common tools for examining binaries without corresponding source code. It transforms binaries into high-level code, reversing the compilation proc…

cs.CL2019

Improving Open Information Extraction via Iterative Rank-Aware Learning

Zhengbao Jiang, Pengcheng Yin, Graham Neubig

Open information extraction (IE) is the task of extracting open-domain assertions from natural language sentences. A key step in open IE is confidence modeling, ranking the extract…

cs.CV2019★ 43 cited

High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

Haohan Wang, Xindi Wu, Zeyi Huang +1

We investigate the relationship between the frequency spectrum of image data and the generalization behavior of convolutional neural networks (CNN). We first notice CNN's ability i…

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