Naacl 2025 Findings Number . Human language technologies are now available. Naacl 2025 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of computational linguistics and natural language.
Findings of the association for computational linguistics: The proceedings of the 2025 conference of the north american chapter of the association for computational linguistics:
Naacl 2025 Findings Number Images References :
Source: aclanthology.org
The Whole is Better than the Sum Using Aggregated Demonstrations in In , The acceptance rate for main conference papers is 23%.
Source: aclanthology.org
Laying Anchors Semantically Priming Numerals in Language Modeling , Findings of the association for computational linguistics:
Source: aclanthology.org
CrossLingual Summarization with PseudoLabel Regularization ACL , Naacl 2025 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of computational linguistics and natural language.
Source: aclanthology.org
RoDia A New Dataset for Romanian Dialect Identification from Speech , Findings of the association for computational linguistics:
Source: aclanthology.org
Conformal Intent Classification and Clarification for Fast and Accurate , 2025 annual conference of the north american chapter of the association for computational linguistics.
Source: github.com
GitHub MoLICHENXI/HAESum [NAACL 2025 Findings] Source code for our , In total, there are 565 papers accepted to the main conference and 304 papers accepted to findings.
Source: aclanthology.org
ICXML An InContext Learning Framework for ZeroShot Extreme Multi , Findings of the association for computational linguistics:
Source: aclanthology.org
AntiLM Decoding for Zeroshot Incontext Machine Translation ACL , Registration is officially open, register now at:
Source: aclanthology.org
Efficient Dependency Tree Sampling Without Replacement ACL Anthology , Naacl 2025 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of computational linguistics and.
Source: aclanthology.org
Natural Languagebased State Representation in Deep Reinforcement , Linguistic diversity of these data sets is typically measured as the number of languages or language families included in the sample, but such measures do not consider structural.