Embedding Learning
3,795 papers
Papers per year
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16
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60
85
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Papers
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning
ICLR 2025
Node Similarities under Random Projections: Limits and Pathological Cases
ICLR 2025
Nonlinear Sequence Embedding by Monotone Variational Inequality
ICLR 2025
Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models
CVPR 2025
NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval
ICLR 2025
NUST Omega at RIRAG 2025: Investigating Context-aware Retrieval and Answer Generations-Lessons and Challenges
COLING 2025
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
ICLR 2025
OASIS: Order-Augmented Strategy for Improved Code Search
ACL 2025
OLMoE: Open Mixture-of-Experts Language Models
ICLR 2025
Omni-ID: Holistic Identity Representation Designed for Generative Tasks
CVPR 2025
On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
ICLR 2025
One Encoder to Rule them All: Representation Learning for Model-free Visual Reinforcement Learning using Fourier Neural Operators
ICCV 2025
On Entity Identification in Language Models
ACL 2025
On the Correspondence between the Squared Norm and Information Content in Text Embeddings
EMNLP 2025
On the Relation Between Fine-Tuning, Topological Properties, and Task Performance in Sense-Enhanced Embeddings
ACL 2025
Operational Advice for Dense and Sparse Retrievers: HNSW, Flat, or Inverted Indexes?
ACL 2025
Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval
ACL 2025
Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering
ACL 2025
Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths
ACL 2025
PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction
EMNLP 2025
Partial Colexifications Improve Concept Embeddings
ACL 2025
pEBR: A Probabilistic Approach to Embedding Based Retrieval
EMNLP 2025
Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement
COLING 2025
PhyloLM: Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks
ICLR 2025
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities
ICML 2025