Posts
All the articles I've posted.
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Nonparametric learning of covariate-based Markov jump processes using RKHS techniques
本文提出了一种基于再生核希尔伯特空间(RKHS)的非参数化方法,通过频率学和贝叶斯框架建模连续时间马尔可夫链(CTMC)中协变量驱动的非线性转移率,显著提升了个体化状态转移预测的准确性。
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When Reasoning Beats Scale: A 1.5B Reasoning Model Outranks 13B LLMs as Discriminator
This paper demonstrates that a 1.5B parameter reasoning model (Distill-R1) outperforms larger non-reasoning LLMs as a discriminator in a text-to-SQL planning framework by leveraging a novel soft score extraction method from chain-of-thought outputs, though it struggles significantly as a generator.
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Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks
This paper proposes a task-oriented semantic communication framework for LMM-based vehicle AI, using LLaVA with Semantic Matching for efficient image slicing and Fusion Attention-based power allocation to prioritize critical data transmission, achieving significant accuracy improvements (up to 33.1% at low SNR) in traffic VQA tasks.
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RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
本文提出StarPO框架和RAGEN系统,通过多轮轨迹级别强化学习训练LLM智能体,揭示了训练不稳定性(如Echo Trap)和推理能力不足的挑战,并通过StarPO-S改进稳定性和泛化性,但推理能力仍需细粒度奖励设计支持。
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Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation
本文提出 TA-LoRA 方法,通过任务自适应低秩表示和快速-缓慢权重机制提升多任务学习的知识转移效率,实现对未见任务的优异泛化性能,同时保持高参数效率。