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Found 4 papers, 1 papers with code
Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation
These limitations include a lack of principled ways to determine optimal hyperparameters and performance degradation when the unlabeled target data fail to meet certain requirements such as a closed-set and identical label distribution to the source data.
Source-Free Domain Adaptation
Unsupervised Domain Adaptation
Document-Grounded Goal-Oriented Dialogue Systems on Pre-Trained Language Model with Diverse Input Representation
In this paper, we propose two models (i. e., a knowledge span prediction model and a response generation model) for the subtask1 and the subtask2.
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation
As the development of large-scale Generative AI models evolve beyond text (1D) generation to include image (2D) and video (3D) generation, processing spatial and temporal information presents unique challenges to quality, performance, and efficiency.
CHAI: Clustered Head Attention for Efficient LLM Inference
We observe that there is a high amount of redundancy across heads on which tokens they pay attention to.
