1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2025
LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs
Junlong Jia, Xing Wu, Chaochen Gao +8
High-quality long-context data is essential for training large language models (LLMs) capable of processing extensive documents, yet existing synthesis approaches using relevance-b…
cs.AI2023★ 1 cited
No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function
Haotian Xu
Large language models (LLMs) demonstrate impressive language understanding and contextual learning abilities, making them suitable for natural language processing (NLP) tasks and c…
cs.SD2017
Joint Bayesian Gaussian discriminant analysis for speaker verification
Yiyan Wang, Haotian Xu, Zhijian Ou
State-of-the-art i-vector based speaker verification relies on variants of Probabilistic Linear Discriminant Analysis (PLDA) for discriminant analysis. We are mainly motivated by t…