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Tele-FLM Technical Report
Large language models (LLMs) have showcased profound capabilities in language understanding and generation, facilitating a wide array of applications.
ProTA: Probabilistic Token Aggregation for Text-Video Retrieval
Text-video retrieval aims to find the most relevant cross-modal samples for a given query.
Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm Maximization
In our dynamic world where data arrives in a continuous stream, continual learning enables us to incrementally add new tasks/domains without the need to retrain from scratch.
TeleChat Technical Report
Subsequently, the model undergoes fine-tuning to align with human preferences, following a detailed methodology that we describe.
Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and Clustering
Dictionary learning is an effective tool for pattern recognition and classification of time series data.
Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning
A tuning method based on Bayesian information criterion and change-point detection accuracy is proposed for penalty coefficients selection.
