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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
Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models
EMNLP 2025
Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings
ACL 2025
ProtoLens: Advancing Prototype Learning for Fine-Grained Interpretability in Text Classification
ACL 2025
ConSim: Measuring Concept-Based Explanations’ Effectiveness with Automated Simulatability
ACL 2025
Beyond Sequences: Two-dimensional Representation and Dependency Encoding for Code Generation
ACL 2025
Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
ACL 2025
ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control
ACL 2025
The Knowledge Microscope: Features as Better Analytical Lenses than Neurons
ACL 2025
Less Mature is More Adaptable for Sentence-level Language Modeling
ACL 2025
Accurate KV Cache Quantization with Outlier Tokens Tracing
ACL 2025
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging
ACL 2025
SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning
ACL 2025
Learning First-Order Logic Rules for Argumentation Mining
ACL 2025
Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs
ACL 2025
Hierarchical Attention Generates Better Proofs
ACL 2025
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric
ACL 2025
KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models
ACL 2025
Computation Mechanism Behind LLM Position Generalization
ACL 2025
THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation
ACL 2025
Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models
ACL 2025
ChartLens: Fine-grained Visual Attribution in Charts
ACL 2025
LESA: Learnable LLM Layer Scaling-Up
ACL 2025
EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models
ACL 2025
Beyond Logits: Aligning Feature Dynamics for Effective Knowledge Distillation
ACL 2025
Scaling ResNets in the Large-depth Regime
JMLR 2025
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