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Methodology
← Core Methods
Machine Learning
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Core Methods
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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
SCV: Light and Effective Multi-Vector Retrieval with Sequence Compressive Vectors
COLING 2025
MedEureka: A Medical Domain Benchmark for Multi-Granularity and Multi-Data-Type Embedding-Based Retrieval
NAACL 2025
Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval
AAAI 2025
HEISIR: Hierarchical Expansion of Inverted Semantic Indexing for Training-free Retrieval of Conversational Data using LLMs
NAACL 2025
TriEmbed: Bridge the Gap between Text and Token Indices with Embedding Reparameterization
ACL 2025
Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models
ACL 2025
Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddings
ACL 2025
Direct Prompt Optimization with Continuous Representations
ACL 2025
LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMs
ACL 2025
Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs
ACL 2025
Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering
ACL 2025
Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning
ACL 2025
TokAlign: Efficient Vocabulary Adaptation via Token Alignment
ACL 2025
Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering
ACL 2025
Enhancing Lexicon-Based Text Embeddings with Large Language Models
ACL 2025
Look Both Ways and No Sink: Converting LLMs into Text Encoders without Training
ACL 2025
Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention
ACL 2025
ALGEN: Few-shot Inversion Attacks on Textual Embeddings via Cross-Model Alignment and Generation
ACL 2025
RefreshKV: Updating Small KV Cache During Long-form Generation
ACL 2025
Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths
ACL 2025
MIR: Methodology Inspiration Retrieval for Scientific Research Problems
ACL 2025
Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings
ACL 2025
WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks
ACL 2025
Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models
ACL 2025
GLoCIM: Global-view Long Chain Interest Modeling for news recommendation
COLING 2025
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