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The Hidden Space of Safety: Understanding Preference-Tuned LLMs in Multilingual context
The Hidden Space of Safety: Understanding Preference-Tuned LLMs in Multilingual context
Arxiv
0+阅读 · 4月3日
Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation
Arxiv
0+阅读 · 4月3日
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
Arxiv
0+阅读 · 4月3日
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
Arxiv
0+阅读 · 4月3日
Stable EEG Source Estimation for Standardized Kalman Filter using Change Rate Tracking
Arxiv
0+阅读 · 3月29日
Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation
Arxiv
0+阅读 · 4月3日
Ross3D: Reconstructive Visual Instruction Tuning with 3D-Awareness
Arxiv
0+阅读 · 4月2日
Adapting Knowledge Prompt Tuning for Enhanced Automated Program Repair
Arxiv
0+阅读 · 4月2日
Improving Mapper's Robustness by Varying Resolution According to Lens-Space Density
Arxiv
0+阅读 · 4月1日
Q-Adapt: Adapting LMM for Visual Quality Assessment with Progressive Instruction Tuning
Arxiv
0+阅读 · 4月2日
Machine Learning-assisted High-speed Combinatorial Optimization with Ising Machines for Dynamically Changing Problems
Arxiv
0+阅读 · 4月2日
Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance
Arxiv
0+阅读 · 4月1日
TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation
TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation
Arxiv
0+阅读 · 4月1日
Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder
Arxiv
0+阅读 · 3月31日
Large Language Models are In-Context Molecule Learners
Large Language Models are In-Context Molecule Learners
Arxiv
0+阅读 · 4月1日
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