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Methodology
← Core Methods
Machine Learning
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Core Methods
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Representation Learning
18863 directly classified 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
GRITHopper: Decomposition-Free Multi-Hop Dense Retrieval
EACL 2026
Intention Knowledge Graph Construction for User Intention Relation Modeling
EACL 2026
CALE : Concept-Aligned Embeddings for Both Within-Lemma and Inter-Lemma Sense Differentiation
EACL 2026
Lexical Popularity: Quantifying the Impact of Pre-training for LLM Performance
EACL 2026
Coupling Local Context and Global Semantic Prototypes via a Hierarchical Architecture for Rhetorical Roles Labeling
EACL 2026
IDEAlign: Comparing Ideas of Large Language Models to Domain Experts
EACL 2026
Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the Impossible
EACL 2026
Pseudo-Likelihood Training for Reasoning Diffusion Language Models
EACL 2026
Beyond Tokens: Concept-Level Training Objectives for LLMs
EACL 2026
On the Additive Compositionality of Task Vectors in Vision–Language Models
EACL 2026
LLMs Know More About Numbers than They Can Say
EACL 2026
Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
EACL 2026
SpatialMath: Spatial Comprehension-Infused Symbolic Reasoning for Mathematical Problem-Solving
EACL 2026
Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering
EACL 2026
ReAttn: Improving Attention-based Re-ranking via Attention Re-weighting
EACL 2026
From Semantics to Style: A Cross-Dataset Comparative Framework for Sentence Similarity Predictions
EACL 2026
KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge
EACL 2026
Punctuations and Predicates in Language Models
EACL 2026
Sequence Repetition Enhances Token Embeddings and Improves Sequence Labeling with Decoder-only Language Models
EACL 2026
Semantic Echo Pathways (SEP): Tracing How Medical Language Propagates and Transforms
EACL 2026
Out-Of-Tune rather than Fine-Tuned: How Pre-training, Fine-tuning and Tokenization Affect Semantic Similarity in a Historical, Non-Standardized Domain
EACL 2026
DCSN-NLP at MWE-2026 AdMIRe 2: Bridging Literal and Figurative Meaning Through Hierarchical Multimodal Reasoning
EACL 2026
Is Sentiment Banana-Shaped? Exploring the Geometry and Portability of Sentiment Concept Vectors
EACL 2026
Contrastive Learning with Narrative Twins for Modeling Story Salience
EACL 2026
Oligodendrocyte-Driven Spiking Neural Model
AAAI 2026
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