Home Awards ACL Best Paper Awards ACL Best Paper Awards winners by year ACL · paper · usually Jul or Aug · due Jul 2026, not out yet · 2 editions loaded
ACL Best Paper Awards 2025 Announced Jul 2025 Winner Category Source A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive Best paper Best paper Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs Best paper Best paper Language Models Resist Alignment: Evidence From Data Compression Best paper Best paper Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention Best paper Best paper AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset Best social impact paper Best social impact paper The AI Gap: How Socioeconomic Status Affects Language Technology Interactions Best social impact paper Best social impact paper Are Rules Meant to be Broken? Understanding Multilingual Moral Reasoning as a Computational Pipeline with UniMoral Best resource paper Best resource paper BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages Best resource paper Best resource paper Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMs Best resource paper Best resource paper MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection Best theme paper Best theme paper Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models Best theme paper Best theme paper SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation Best theme paper Best theme paper
Source: 2025.aclweb.org/program/awards
About this award
Edition Announced Winners 2025 Jul 2025 12 2024 Aug 2024 14
The next date is an estimate from the months past editions were announced (Jul or Aug); it changes when ACL announces one.
Sources: each organizer's own list, linked on every winner, read monthly in each award's announcement window. A list is the organizer's judgment, not ours. Logos via logo.dev; trademarks belong to their owners.
