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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
TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems
AAAI 2026
Neural network embeddings recover value dimensions from psychometric survey items on par with human data
EACL 2026
Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pretrained Models
EACL 2026
Normalizing Health Concepts with Biomedical Embedding and LLMs
EACL 2026
DIRECT: Directional Relevance in Conversational Trajectories
EACL 2026
One Sentence, Two Embeddings: Contrastive Learning of Explicit and Implicit Semantic Representations
EACL 2026
Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data
EACL 2026
Similarity-aware Probabilistic Embeddings Modeling for Video-Text Retrieval
WACV 2026
A Representation Sharpening Framework for Zero Shot Dense Retrieval
EACL 2026
PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval
WACV 2026
LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization
WACV 2026
Patch-wise Retrieval: A Bag of Practical Techniques for Instance-level Matching
WACV 2026
VN-MTEB: Vietnamese Massive Text Embedding Benchmark
EACL 2026
Language Models Do Not Embed Numbers Continuously (Student Abstract)
AAAI 2026
MV-LLMRec: Multi-View Representation Learning with Large Language Models for Recommendation (Student Abstract)
AAAI 2026
EHL*: Memory-Budgeted Indexing for Ultrafast Optimal Euclidean Pathfinding
AAAI 2026
USPR: Learning a Unified Solver for Profiled Routing
AAAI 2026
LLM Collaborative Filtering: User-Item Graph as New Language
AAAI 2026
Efficient Transcoder Adaptation for Fine-Tuned Models: Revealing Medical Reasoning Mechanisms in Large Language Models
AAAI 2026
Semi-Supervised Synthetic Data Generation with Fine-Grained Relevance Control for Short Video Search Relevance Modeling
AAAI 2026
FAM: Fine-Grained Alignment Matters in Multimodal Embedding Learning with Large Vision-Language Models
AAAI 2026
GeoPTH: A Lightweight Approach to Category-Based Trajectory Retrieval via Geometric Prototype Trajectory Hashing
AAAI 2026
Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
AAAI 2026
Boosting Noisy Correspondence Discrimination via Dynamic Neighborhood Semantic Verification
AAAI 2026
CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation
AAAI 2026
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