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Methodology
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Machine Learning
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Self-Supervised Learning
8255 directly classified papers
Papers per year
2006: 8
2007: 7
2008: 7
2009: 9
2010: 12
2011: 7
2012: 13
2013: 11
2014: 12
2015: 17
2016: 35
2017: 97
2018: 191
2019: 441
2020: 663
2021: 1166
2022: 1170
2023: 1544
2024: 1323
2025: 1205
2026: 317
Papers
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
ACL 2024
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where
WACV 2024
Visually Guided Audio Source Separation With Meta Consistency Learning
WACV 2024
Parallel Structures in Pre-training Data Yield In-Context Learning
ACL 2024
M3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought
ACL 2024
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking
NIPS 2024
Semantic-based NLP techniques discriminate schizophrenia and Wernicke’s aphasia based on spontaneous speech
COLING 2024
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
ACL 2024
Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning
ACL 2024
DHMConv: Directed Hypergraph Momentum Convolution Framework
AISTATS 2024
Ignore Me But Don’t Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain
NAACL 2024
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning
ACL 2024
Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text
NAACL 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
NIPS 2024
Lightweight reranking for language model generations
ACL 2024
Large Language Models Encode the Practice of Medicine
NAACL 2024
Towards Dog Bark Decoding: Leveraging Human Speech Processing for Automated Bark Classification
COLING 2024
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
ACL 2024
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
NIPS 2024
Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?
ACL 2024
MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation
COLING 2024
Instruction Fusion: Advancing Prompt Evolution through Hybridization
ACL 2024
Differentiable Rendering with Reparameterized Volume Sampling
AISTATS 2024
ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling
ACL 2024
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
ACL 2024
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