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Correct-Detect: Balancing Performance and Ambiguity Through the Lens of Coreference Resolution in LLMs
Correct-Detect: Balancing Performance and Ambiguity Through the Lens of Coreference Resolution in LLMs
Arxiv
0+阅读 · 10月21日
VendiRL: A Framework for Self-Supervised Reinforcement Learning of Diversely Diverse Skills
Arxiv
0+阅读 · 10月12日
Diffusion Models for Low-Light Image Enhancement: A Multi-Perspective Taxonomy and Performance Analysis
Arxiv
0+阅读 · 10月7日
Diagnosing the Performance Trade-off in Moral Alignment: A Case Study on Gender Stereotypes
Arxiv
0+阅读 · 10月7日
How Foundational are Foundation Models for Time Series Forecasting?
Arxiv
0+阅读 · 10月7日
Instability in Downstream Task Performance During LLM Pretraining
Arxiv
0+阅读 · 10月6日
Does Weak-to-strong Generalization Happen under Spurious Correlations?
Arxiv
0+阅读 · 9月28日
Quantifying Knowledge Distillation Using Partial Information Decomposition
Arxiv
0+阅读 · 4月4日
Model Diffusion for Certifiable Few-shot Transfer Learning
Arxiv
0+阅读 · 5月28日
Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine
Arxiv
0+阅读 · 7月17日
Subasa -- Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala
Subasa -- Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala
Arxiv
0+阅读 · 4月2日
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
Arxiv
0+阅读 · 4月1日
A Context-Aware Approach for Enhancing Data Imputation with Pre-trained Language Models
A Context-Aware Approach for Enhancing Data Imputation with Pre-trained Language Models
Arxiv
0+阅读 · 3月27日
TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces
Arxiv
0+阅读 · 3月10日
Understanding and Improving Information Preservation in Prompt Compression for LLMs
Arxiv
0+阅读 · 3月24日
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