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Artificial Intelligence
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Learning Paradigms
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Transfer Learning
8,078 papers
Papers per year
2002: 2
2003: 1
2005: 3
2006: 5
2007: 12
2008: 7
2009: 7
2010: 16
2011: 15
2012: 13
2013: 35
2014: 32
2015: 40
2016: 72
2017: 149
2018: 341
2019: 619
2020: 711
2021: 992
2022: 980
2023: 1182
2024: 1282
2025: 1254
2026: 308
Papers
Analysis of Plan-based Retrieval for Grounded Text Generation
EMNLP 2024
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs
EMNLP 2024
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
EMNLP 2024
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models
EMNLP 2024
Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning
EMNLP 2024
Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing
EMNLP 2024
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification
EMNLP 2024
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation
EMNLP 2024
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
EMNLP 2024
SecCoder: Towards Generalizable and Robust Secure Code Generation
EMNLP 2024
RepMatch: Quantifying Cross-Instance Similarities in Representation Space
EMNLP 2024
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion
EMNLP 2024
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models
EMNLP 2024
Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach
EMNLP 2024
Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion
EMNLP 2024
AudioVSR: Enhancing Video Speech Recognition with Audio Data
EMNLP 2024
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging
EMNLP 2024
Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation
EMNLP 2024
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training
EMNLP 2024
Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities
EMNLP 2024
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs
EMNLP 2024
Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction
EMNLP 2024
Dual-Space Knowledge Distillation for Large Language Models
EMNLP 2024
Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks
EMNLP 2024
Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization
EMNLP 2024
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