AdaCal: Adaptive Calibration for Robust Sparse Attention in Long-Context LLMs
Leqin Xiang · Yongbin Liu · Chunping Ouyang · Ying Yu
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Leqin Xiang · Yongbin Liu · Chunping Ouyang · Ying Yu
Zhen Yang · Wei Du · Jie Wang · Wenze Zhou · Xiangfeng Meng · Zhengyang Wang · Suping Sun · Ziwei Du · Haodong Zou · Jie Chen · Yongbin Liu · Shicheng Tan · jiahao ying · Shu Zhao
Recent progress in Large Language Model (LLM) based Table Question Answering (TableQA) has demonstrated strong performance on standard benchmarks. However, existing benchmarks mainly focus on well-structured tables and fail to reflect the irregular structures and complex reasoning commonly encoun...
Xu Luo · Yongbin Liu · Chunping Ouyang · Ying Yu
Low-Rank Adaptation (LoRA) is a widely adopted approach for parameter-efficient fine-tuning of large language models, enabling effective adaptation with a small number of trainable parameters. However, its reliance on linear low-rank projections restricts adaptation to linear subspaces, which can...