Posts
All the articles I've posted.
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PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
本文提出PointLoRA方法,通过低秩适配和多尺度令牌选择,实现点云模型的参数高效微调,显著减少可训练参数同时在多个数据集上达到竞争性性能。
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Meeseeks: An Iterative Benchmark Evaluating LLMs Multi-Turn Instruction-Following Ability
本文提出Meeseeks多轮指令遵循基准,通过迭代反馈机制系统评估LLMs的自纠错能力,发现模型在多轮互动中性能显著提升。
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You Name It, I Run It: An LLM Agent to Execute Tests of Arbitrary Projects
本文提出ExecutionAgent,一个基于LLM的自主代理,通过meta-prompting和迭代反馈机制自动设置并执行任意软件项目的测试套件,显著提高了测试执行的成功率和准确性。
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ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
This paper introduces ULFine, an unbiased lightweight fine-tuning strategy for foundation-model-assisted long-tailed semi-supervised learning, which mitigates 'minority bottleneck' and 'majority overconfidence' issues using Prototype Adaptive Fitting and Dual Logit Fusion, achieving significant performance improvements and over 10x training cost reduction on benchmark datasets.
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Empirical Evaluation of Progressive Coding for Sparse Autoencoders
本文通过实证评估比较了Matryoshka SAEs和基于字典幂律修剪的方法,以实现SAEs的渐进式编码,提高计算效率、重建保真度和可解释性。