Search Results for author:
Found 5 papers, 3 papers with code
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning
The scaling of Large Language Models (LLMs) for retrieval-based tasks, particularly in Retrieval Augmented Generation (RAG), faces significant memory constraints, especially when fine-tuning extensive prompt sequences.
Distributional Shift Adaptation using Domain-Specific Features
Machine learning algorithms typically assume that the training and test samples come from the same distributions, i. e., in-distribution.
Fairness through Aleatoric Uncertainty
We then propose a principled model to improve fairness when aleatoric uncertainty is high and improve utility elsewhere.
Causal Inference for Time series Analysis: Problems, Methods and Evaluation
In this paper, we focus on two causal inference tasks, i. e., treatment effect estimation and causal discovery for time series data, and provide a comprehensive review of the approaches in each task.
A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation
These mechanisms could be manifested in two forms: (1) the bias of social media's recommender systems and (2) internal biases such as confirmation bias and homophily.
