Author

Mingjie Zhang

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Jul 2026

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval

This work proposes SHIFT, a retrieval training framework based on LLMs that transfers LLMs into reasoning-efficient retrievers with residual projection and task-oriented bidirectional attention aggregation in the latent space, and alleviates the mismatch between contrastive learning and implicit reasoning using fine-gr...

Yuxiao Luo, Da Li, Mingjie Zhang et al. · arXiv.org · 0 citations

Conference Open access 2026

LeLoRA: Learnable Low-Rank Adaptation of Large Language Models

A novel Le arnable Lo w-R ank A daptation (LeLoRA) framework that utilizes dynamically learned fine-tuning strategies to facilitate the effective adaptation of LLMs and provides compelling evidence that LeLoRA consistently outperforms existing baselines in adapting LLMs.

Xiaoling Zhou, Mingjie Zhang, Zhemg Lee et al. · Annual Meeting of the Associ... · 0 citations