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researcher

Pete Walsh

Allen Institute for AI

13 papers hereh-index 122.6k citations17 works total

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

author position
  • middle author13

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

fields
  • cs.CL12
  • cs.CV1
affiliations
  • Allen Institute for AI
Homepage
same name
  • Pete Walsh — 1 paper, h 1
  • Pete Walsh — 1 paper

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
20222025
most citedOLMo: Accelerating the Science of Language Models

11 citations · 49 across the 12 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023

Catwalk: A Unified Language Model Evaluation Framework for Many Datasets

Dirk Groeneveld, Anas Awadalla, Iz Beltagy +7

The success of large language models has shifted the evaluation paradigms in natural language processing (NLP). The community's interest has drifted towards comparing NLP models ac…

cs.CL2023

Paloma: A Benchmark for Evaluating Language Model Fit

Ian Magnusson, Akshita Bhagia, Valentin Hofmann +13

Evaluations of language models (LMs) commonly report perplexity on monolithic data held out from training. Implicitly or explicitly, this data is composed of domains--varying distr…

cs.CL2023★ 3 cited

What's In My Big Data?

Yanai Elazar, Akshita Bhagia, Ian Magnusson +10

Large text corpora are the backbone of language models. However, we have a limited understanding of the content of these corpora, including general statistics, quality, social fact…

cs.CL2023★ 1 cited

Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation

Hao Peng, Qingqing Cao, Jesse Dodge +11

Rising computational demands of modern natural language processing (NLP) systems have increased the barrier to entry for cutting-edge research while posing serious environmental co…

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