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cs.LG2026
Understanding and Guiding Layer Placement in Parameter-Efficient Fine-Tuning of Large Language Models
Yichen Xu, Yuyang Liang, Shan Dai +3
As large language models (LLMs) continue to grow, the cost of full-parameter fine-tuning has made parameter-efficient fine-tuning (PEFT) the default strategy for downstream adaptat…
cs.CL2026
Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models
Bin Cao, Huixian Lu, Chenwen Ma +3
Complex tables with multi-level headers, merged cells and heterogeneous layouts pose persistent challenges for LLMs in both understanding and reasoning. Existing approaches typical…
cs.CL2026
On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation
Weichuan Wang, Mingyang Liu, Linqi Song +1
In recent years, the non-deterministic properties of language models have garnered considerable attention and have shown a significant influence on real-world applications. However…