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Found 4 papers, 1 papers with code
Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse
The efficacy of large language models (LLMs) is heavily dependent on the quality of the underlying data, particularly within specialized domains.
MolNexTR: A Generalized Deep Learning Model for Molecular Image Recognition
In addition, it employs a series of novel augmentation algorithms to significantly enhance the robustness and performance of the model.
Semantic Data Augmentation for End-to-End Mandarin Speech Recognition
Augmentation related issues, such as comparison of different strategies and ratios for data combination are also investigated.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
A paradigm system for strong correlation and charge transfer competition
In chemistry and condensed matter physics the solution of simple paradigm systems, such as the hydrogen atom and the uniform electron gas, plays a critical role in understanding electron behaviors and developing electronic structure methods.
Chemical Physics
