"natural language understanding" Papers
12 papers found
Conference
AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
Jingjing Zheng, Wanglong Lu, Yiming Dong et al.
NEURIPS 2025
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
Justin Deschenaux, Caglar Gulcehre
ICLR 2025arXiv:2410.21035
29
citations
Collapsed Language Models Promote Fairness
Jingxuan Xu, Wuyang Chen, Linyi Li et al.
ICLR 2025arXiv:2410.04472
1
citations
Decoupling Angles and Strength in Low-rank Adaptation
Massimo Bini, Leander Girrbach, Zeynep Akata
ICLR 2025arXiv:2503.18225
8
citations
Federated Residual Low-Rank Adaption of Large Language Models
Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo et al.
ICLR 2025
8
citations
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
Lin Yuan, Jun Xu, Honghao Gui et al.
AAAI 2025paperarXiv:2502.03843
3
citations
Structural Entropy Guided Probabilistic Coding
Xiang Huang, Hao Peng, Li Sun et al.
AAAI 2025paperarXiv:2412.08841
3
citations
BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials
Xingrun Xing, Li Du, Xinyuan Wang et al.
AAAI 2024paperarXiv:2312.08937
5
citations
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference
Ziqian Zeng, Yihuai Hong, Hongliang Dai et al.
AAAI 2024paperarXiv:2312.11882
17
citations
Imitation of Life: A Search Engine for Biologically Inspired Design
Hen Emuna, Nadav Borenstein, Xin Qian et al.
AAAI 2024paperarXiv:2312.12681
4
citations
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
Bo Li, Wei Ye, Quansen Wang et al.
AAAI 2024paperarXiv:2312.08726
4
citations
SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding
Tianyu Yu, Chengyue Jiang, Chao Lou et al.
AAAI 2024paperarXiv:2308.10529
28
citations