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Machine Learning
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Self-Supervised Learning
8,255 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
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models
ACL 2024
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation
ACL 2024
Long-Context Language Modeling with Parallel Context Encoding
ACL 2024
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
ACL 2024
ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling
ACL 2024
Semiparametric Token-Sequence Co-Supervision
ACL 2024
Instruction Fusion: Advancing Prompt Evolution through Hybridization
ACL 2024
Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?
ACL 2024
Uncertainty-Guided Modal Rebalance for Hateful Memes Detection
ACL 2024
LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback
ACL 2024
PRP-Graph: Pairwise Ranking Prompting to LLMs with Graph Aggregation for Effective Text Re-ranking
ACL 2024
Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions
ACL 2024
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
ACL 2024
Generating Contrastive Narratives Using the Brownian Bridge Process for Narrative Coherence Learning
ACL 2024
A Causal Approach for Counterfactual Reasoning in Narratives
ACL 2024
PixT3: Pixel-based Table-To-Text Generation
ACL 2024
Lightweight reranking for language model generations
ACL 2024
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning
ACL 2024
Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning
ACL 2024
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder
ACL 2024
Advancement in Graph Understanding: A Multimodal Benchmark and Fine-Tuning of Vision-Language Models
ACL 2024
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
ACL 2024
M3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought
ACL 2024
Direct Metric Optimization for Image Captioning through Reward-Weighted Augmented Data Utilization
ACL 2024
Parallel Structures in Pre-training Data Yield In-Context Learning
ACL 2024
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