Search Results for author:
Found 8 papers, 3 papers with code
HBot: A Chatbot for Healthcare Applications in Traditional Chinese Medicine Based on Human Body 3D Visualization
However, concepts such as acupuncture points (acupoints) and meridians involved in TCM always appear in the consultation, which cannot be displayed intuitively.
UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models
In order to answer this question, we propose the UNO Arena based on the card game UNO to evaluate the sequential decision-making capability of LLMs and explain in detail why we choose UNO.
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging
While large language models (LLMs) excel in many domains, their complexity and scale challenge deployment in resource-limited environments.
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.
