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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
Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models
EMNLP 2025
Unpacking Let Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning
EMNLP 2025
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective
EMNLP 2025
Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks
EMNLP 2025
Scaling Up Temporal Domain Generalization via Temporal Experts Averaging
EMNLP 2025
The Strawberry Problem: Emergence of Character-level Understanding in Tokenized Language Models
EMNLP 2025
Unsupervised Concept Vector Extraction for Bias Control in LLMs
EMNLP 2025
Probing and Boosting Large Language Models Capabilities via Attention Heads
EMNLP 2025
Explaining Differences Between Model Pairs in Natural Language through Sample Learning
EMNLP 2025
Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models
EMNLP 2025
Improving Handshape Representations for Sign Language Processing: A Graph Neural Network Approach
EMNLP 2025
Multilingual Pretraining for Pixel Language Models
EMNLP 2025
V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat
EMNLP 2025
Mixture of Languages: Improved Multilingual Encoders Through Language Grouping
EMNLP 2025
Sparse Autoencoder Features for Classifications and Transferability
EMNLP 2025
KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction
EMNLP 2025
LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models
EMNLP 2025
Enhancing Study-Level Inference from Clinical Trial Papers via Reinforcement Learning-Based Numeric Reasoning
EMNLP 2025
Exploring morphology-aware tokenization: A case study on Spanish language modeling
EMNLP 2025
Mapping semantic networks to Dutch word embeddings as a diagnostic tool for cognitive decline
EMNLP 2025
HICode: Hierarchical Inductive Coding with LLMs
EMNLP 2025
LoRACoE: Improving Large Language Model via Composition-based LoRA Expert
EMNLP 2025
3R: Enhancing Sentence Representation Learning via Redundant Representation Reduction
EMNLP 2025
The Transfer Neurons Hypothesis: An Underlying Mechanism for Language Latent Space Transitions in Multilingual LLMs
EMNLP 2025
SQUiD: Synthesizing Relational Databases from Unstructured Text
EMNLP 2025
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