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← Core Methods
Machine Learning
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Core Methods
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Representation Learning
18,863 papers
Papers per year
2000: 2
2001: 4
2002: 2
2003: 18
2004: 4
2005: 9
2006: 62
2007: 61
2008: 74
2009: 73
2010: 96
2011: 103
2012: 131
2013: 283
2014: 255
2015: 295
2016: 426
2017: 691
2018: 1066
2019: 1798
2020: 1830
2021: 2207
2022: 2109
2023: 2560
2024: 2177
2025: 1926
2026: 601
Papers
Embedding derived animacy rankings offer insights into the sources of grammatical animacy
NAACL 2025
Little Giants: Synthesizing High-Quality Embedding Data at Scale
NAACL 2025
Can LLMs Convert Graphs to Text-Attributed Graphs?
NAACL 2025
A Multi-modal Large Language Model with Graph-of-Thought for Effective Recommendation
NAACL 2025
Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction
NAACL 2025
Racing Thoughts: Explaining Contextualization Errors in Large Language Models
NAACL 2025
Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling
NAACL 2025
A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Case Study of Supplementary Adverbs
NAACL 2025
Improving Model Evaluation using SMART Filtering of Benchmark Datasets
NAACL 2025
A Unified Supervised and Unsupervised Dialogue Topic Segmentation Framework Based on Utterance Pair Modeling
NAACL 2025
Label Drop for Multi-Aspect Relation Modeling in Universal Information Extraction
NAACL 2025
Exploring the Potential of Large Language Models for Heterophilic Graphs
NAACL 2025
High-Dimension Human Value Representation in Large Language Models
NAACL 2025
Not all Hallucinations are Good to Throw Away When it Comes to Legal Abstractive Summarization
NAACL 2025
Query-focused Referentiability Learning for Zero-shot Retrieval
NAACL 2025
A Novel Computational Modeling Foundation for Automatic Coherence Assessment
NAACL 2025
Rethinking Word Similarity: Semantic Similarity through Classification Confusion
NAACL 2025
Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models
NAACL 2025
Identifying Emerging Concepts in Large Corpora
NAACL 2025
Script-Agnosticism and its Impact on Language Identification for Dravidian Languages
NAACL 2025
Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
NAACL 2025
Sneaking Syntax into Transformer Language Models with Tree Regularization
NAACL 2025
On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language Models
NAACL 2025
Reverse Thinking Makes LLMs Stronger Reasoners
NAACL 2025
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples
NAACL 2025
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