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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
CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment
EMNLP 2025
Language Models as Continuous Self-Evolving Data Engineers
EMNLP 2025
A Survey on the Feedback Mechanism of LLM-based AI Agents
IJCAI 2025
MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale
ACL 2025
Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis
EMNLP 2025
TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering
EMNLP 2025
ReSeeding Latent States for Sequential Language Understanding
EMNLP 2025
R-PRM: Reasoning-Driven Process Reward Modeling
EMNLP 2025
CoPL: Collaborative Preference Learning for Personalizing LLMs
EMNLP 2025
START: Self-taught Reasoner with Tools
EMNLP 2025
Speed Up Your Code: Progressive Code Acceleration Through Bidirectional Tree Editing
ACL 2025
RareSyn: Health Record Synthesis for Rare Disease Diagnosis
EMNLP 2025
How do autoregressive transformers solve full addition?
EMNLP 2025
Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation
EMNLP 2025
MusKGC: A Flexible Multi-source Knowledge Enhancement Framework for Open-World Knowledge Graph Completion
EMNLP 2025
Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA
ACL 2025
DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models
EMNLP 2025
Conditional [MASK] Discrete Diffusion Language Model
EMNLP 2025
PIPER: Benchmarking and Prompting Event Reasoning Boundary of LLMs via Debiasing-Distillation Enhanced Tuning
ACL 2025
Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps
EMNLP 2025
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction
EMNLP 2025
ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks
EMNLP 2025
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance
EMNLP 2025
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport
EMNLP 2025
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency
EMNLP 2025
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