8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Training LLMs to be Better Text Embedders through Bidirectional Reconstruction
Chang Su, Dengliang Shi, Siyuan Huang +5
Large language models (LLMs) have increasingly been explored as powerful text embedders. Existing LLM-based text embedding approaches often leverage the embedding of the final toke…
cs.LG2025
HAMMER: Hamiltonian Curiosity Augmented Large Language Model Reinforcement
Ming Yang, Xiaofan Li, Zhiyuan Ma +4
Recent curriculum reinforcement learning for large language models (LLMs) typically rely on difficulty-based annotations for data filtering and ordering. However, such methods suff…
cs.CL2017★ 8 cited
A Study on Neural Network Language Modeling
Dengliang Shi
An exhaustive study on neural network language modeling (NNLM) is performed in this paper. Different architectures of basic neural network language models are described and examine…