← Learning Types
Machine Learning › Learning Types ›

Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

Exploring Chain-of-Thought for Multi-modal Metaphor Detection ACL 2024
NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation NAACL 2024
DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking CVPR 2024
TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques NAACL 2024
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs NIPS 2024
Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models NAACL 2024
AISPACE at SemEval-2024 task 8: A Class-balanced Soft-voting System for Detecting Multi-generator Machine-generated Text NAACL 2024
Applying Linguistic Expertise to LLMs for Educational Material Development in Indigenous Languages NAACL 2024
RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning NAACL 2024
The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline NAACL 2024
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning NAACL 2024
Modulate Your Spectrum in Self-Supervised Learning ICLR 2024
Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants NAACL 2024
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models NAACL 2024
GoT: Effective Graph-of-Thought Reasoning in Language Models NAACL 2024
Contrastive Preference Learning for Neural Machine Translation NAACL 2024
Evaluating Step-by-Step Reasoning through Symbolic Verification NAACL 2024
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies NAACL 2024
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration NIPS 2024
Self-Regulated Sample Diversity in Large Language Models NAACL 2024
Reason from Fallacy: Enhancing Large Language Models’ Logical Reasoning through Logical Fallacy Understanding NAACL 2024
PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles NAACL 2024
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification NAACL 2024
MetaReflection: Learning Instructions for Language Agents using Past Reflections EMNLP 2024
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners EMNLP 2024