Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review Article Swipe
Neha Prakriya
,
J. Yen
,
Cho‐Jui Hsieh
,
Jason Cong
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2025.conll-1.18
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2025.conll-1.18
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18653/v1/2025.conll-1.18
- https://aclanthology.org/2025.conll-1.18.pdf
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412889002
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4412889002Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.18653/v1/2025.conll-1.18Digital Object Identifier
- Title
-
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and ReviewWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-01Full publication date if available
- Authors
-
Neha Prakriya, J. Yen, Cho‐Jui Hsieh, Jason CongList of authors in order
- Landing page
-
https://doi.org/10.18653/v1/2025.conll-1.18Publisher landing page
- PDF URL
-
https://aclanthology.org/2025.conll-1.18.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://aclanthology.org/2025.conll-1.18.pdfDirect OA link when available
- Concepts
-
Focus (optics), Computer science, Mathematics education, Programming language, Human–computer interaction, Psychology, Optics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4412889002 |
|---|---|
| doi | https://doi.org/10.18653/v1/2025.conll-1.18 |
| ids.doi | https://doi.org/10.18653/v1/2025.conll-1.18 |
| ids.openalex | https://openalex.org/W4412889002 |
| fwci | 0.0 |
| type | article |
| title | Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 290 |
| biblio.first_page | 268 |
| topics[0].id | https://openalex.org/T10181 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9510999917984009 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Natural Language Processing Techniques |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C192209626 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7233363389968872 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q190909 |
| concepts[0].display_name | Focus (optics) |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.6864539980888367 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C145420912 |
| concepts[2].level | 1 |
| concepts[2].score | 0.3799958825111389 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q853077 |
| concepts[2].display_name | Mathematics education |
| concepts[3].id | https://openalex.org/C199360897 |
| concepts[3].level | 1 |
| concepts[3].score | 0.3655933737754822 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[3].display_name | Programming language |
| concepts[4].id | https://openalex.org/C107457646 |
| concepts[4].level | 1 |
| concepts[4].score | 0.3306846022605896 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[4].display_name | Human–computer interaction |
| concepts[5].id | https://openalex.org/C15744967 |
| concepts[5].level | 0 |
| concepts[5].score | 0.2264946699142456 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[5].display_name | Psychology |
| concepts[6].id | https://openalex.org/C120665830 |
| concepts[6].level | 1 |
| concepts[6].score | 0.0 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q14620 |
| concepts[6].display_name | Optics |
| concepts[7].id | https://openalex.org/C121332964 |
| concepts[7].level | 0 |
| concepts[7].score | 0.0 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[7].display_name | Physics |
| keywords[0].id | https://openalex.org/keywords/focus |
| keywords[0].score | 0.7233363389968872 |
| keywords[0].display_name | Focus (optics) |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.6864539980888367 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/mathematics-education |
| keywords[2].score | 0.3799958825111389 |
| keywords[2].display_name | Mathematics education |
| keywords[3].id | https://openalex.org/keywords/programming-language |
| keywords[3].score | 0.3655933737754822 |
| keywords[3].display_name | Programming language |
| keywords[4].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[4].score | 0.3306846022605896 |
| keywords[4].display_name | Human–computer interaction |
| keywords[5].id | https://openalex.org/keywords/psychology |
| keywords[5].score | 0.2264946699142456 |
| keywords[5].display_name | Psychology |
| language | en |
| locations[0].id | doi:10.18653/v1/2025.conll-1.18 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://aclanthology.org/2025.conll-1.18.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Proceedings of the 29th Conference on Computational Natural Language Learning |
| locations[0].landing_page_url | https://doi.org/10.18653/v1/2025.conll-1.18 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5092439424 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-4866-0425 |
| authorships[0].author.display_name | Neha Prakriya |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Neha Prakriya |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5109042299 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | J. Yen |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Jui-Nan Yen |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5010841999 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3520-9627 |
| authorships[2].author.display_name | Cho‐Jui Hsieh |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Cho-Jui Hsieh |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5016776689 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-2887-6963 |
| authorships[3].author.display_name | Jason Cong |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Jason Cong |
| authorships[3].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://aclanthology.org/2025.conll-1.18.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10181 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9510999917984009 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Natural Language Processing Techniques |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2390279801, https://openalex.org/W4391913857, https://openalex.org/W2358668433, https://openalex.org/W4396701345, https://openalex.org/W2376932109, https://openalex.org/W2001405890, https://openalex.org/W4396696052 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.18653/v1/2025.conll-1.18 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://aclanthology.org/2025.conll-1.18.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | proceedings-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Proceedings of the 29th Conference on Computational Natural Language Learning |
| best_oa_location.landing_page_url | https://doi.org/10.18653/v1/2025.conll-1.18 |
| primary_location.id | doi:10.18653/v1/2025.conll-1.18 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://aclanthology.org/2025.conll-1.18.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Proceedings of the 29th Conference on Computational Natural Language Learning |
| primary_location.landing_page_url | https://doi.org/10.18653/v1/2025.conll-1.18 |
| publication_date | 2025-01-01 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.14357617 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |