Search Results for author:
Found 5 papers, 3 papers with code
Checkpoint Merging via Bayesian Optimization in LLM Pretraining
The rapid proliferation of large language models (LLMs) such as GPT-4 and Gemini underscores the intense demand for resources during their training processes, posing significant challenges due to substantial computational and environmental costs.
A Survey on Data Selection for LLM Instruction Tuning
Instruction tuning is a vital step of training large language models (LLM), so how to enhance the effect of instruction tuning has received increased attention.
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
In this work, we proposed a novel Incomplete Contrastive Multi-View Clustering method with high-confidence guiding (ICMVC).
HeroNet: A Hybrid Retrieval-Generation Network for Conversational Bots
Specifically, the retrieval performance is improved while the model size is reduced by training two lightweight, task-specific adapter modules that share only one underlying T5-Encoder model.
Requirements Elicitation in Cognitive Service for Recommendation
To this end, two phases must be applied: I. Sequence planning and Real-time detection of user requirement, II. Service resource selection and Response generation.
