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Claim Automation using Large Language Model
Arxiv
0+阅读 · 2月18日
KLong: Training LLM Agent for Extremely Long-horizon Tasks
KLong: Training LLM Agent for Extremely Long-horizon Tasks
Arxiv
0+阅读 · 2月19日
Learning to Stay Safe: Adaptive Regularization Against Safety Degradation during Fine-Tuning
Arxiv
0+阅读 · 2月19日
Sci2Pol: Evaluating and Fine-tuning LLMs on Scientific-to-Policy Brief Generation
Arxiv
0+阅读 · 2月19日
NeST: Neuron Selective Tuning for LLM Safety
Arxiv
0+阅读 · 2月18日
FRAPPE: Infusing World Modeling into Generalist Policies via Multiple Future Representation Alignment
Arxiv
0+阅读 · 2月19日
LoRA-Squeeze: Simple and Effective Post-Tuning and In-Tuning Compression of LoRA Modules
LoRA-Squeeze: Simple and Effective Post-Tuning and In-Tuning Compression of LoRA Modules
Arxiv
0+阅读 · 2月19日
State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting?
State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting?
Arxiv
0+阅读 · 2月19日
Small LLMs for Medical NLP: a Systematic Analysis of Few-Shot, Constraint Decoding, Fine-Tuning and Continual Pre-Training in Italian
Small LLMs for Medical NLP: a Systematic Analysis of Few-Shot, Constraint Decoding, Fine-Tuning and Continual Pre-Training in Italian
Arxiv
0+阅读 · 2月19日
Entropy-Based Data Selection for Language Models
Arxiv
0+阅读 · 2月19日
ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization
Arxiv
0+阅读 · 2月19日
Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation
Arxiv
0+阅读 · 2月18日
Training Large Reasoning Models Efficiently via Progressive Thought Encoding
Arxiv
0+阅读 · 2月18日
BadCLIP++: Stealthy and Persistent Backdoors in Multimodal Contrastive Learning
Arxiv
0+阅读 · 2月19日
Amber-Image: Efficient Compression of Large-Scale Diffusion Transformers
Arxiv
0+阅读 · 2月19日
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