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Methodology
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Machine Learning
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Embedding Learning
3751 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 2
2004: 1
2005: 2
2006: 8
2007: 6
2008: 7
2009: 13
2010: 14
2011: 17
2012: 19
2013: 39
2014: 35
2015: 58
2016: 85
2017: 230
2018: 340
2019: 515
2020: 474
2021: 426
2022: 364
2023: 328
2024: 361
2025: 336
2026: 68
Papers
Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddings
ACL 2025
Generalized Embedding Models for Industry 4.0 Applications
EMNLP 2025
Towards Ancient Meroitic Decipherment: A Computational Approach
NAACL 2025
Rethinking Smoothness for Fast and Adaptable Entity Alignment Decoding
NAACL 2025
Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
EMNLP 2025
LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients
EMNLP 2025
Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings
EMNLP 2025
Beyond Citations: Integrating Finding-Based Relations for Improved Biomedical Article Representations
ACL 2025
Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation
EMNLP 2025
Cross-Lingual Document Recommendations with Transformer-Based Representations: Evaluating Multilingual Models and Mapping Techniques
COLING 2025
Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning
IJCAI 2025
Challenging Assumptions in Learning Generic Text Style Embeddings
NAACL 2025
GSID: Generative Semantic Indexing for E-Commerce Product Understanding
EMNLP 2025
PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction
EMNLP 2025
Leveraging Cognitive Complexity of Texts for Contextualization in Dense Retrieval
EMNLP 2025
Testing Humor Theory Using Word and Sentence Embeddings
COLING 2025
Multi-view-guided Passage Reranking with Large Language Models
EMNLP 2025
Rank-Awareness and Angular Constraints: A New Perspective on Learning Sentence Embeddings from NLI Data
EMNLP 2025
Mapping Cross-Lingual Sentence Representations for Low-Resource Language Pairs Using Pre-trained Language Models
COLING 2025
SMEC:Rethinking Matryoshka Representation Learning for Retrieval Embedding Compression
EMNLP 2025
iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models
EMNLP 2025
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning
NAACL 2025
Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition
ACL 2025
Latent Inter-User Difference Modeling for LLM Personalization
EMNLP 2025
Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment
ACL 2025
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