cs.CL(2025-10-19)

📊 共 21 篇论文

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (16) 支柱二:RL算法与架构 (RL & Architecture) (4) 支柱一:机器人控制 (Robot Control) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (16 篇)

#题目一句话要点标签🔗
1 Does Visual Grounding Enhance the Understanding of Embodied Knowledge in Large Language Models? 提出具身知识理解基准,评估视觉 grounding 是否提升大语言模型感知能力。 large language model multimodal visual grounding
2 Real-Time World Crafting: Generating Structured Game Behaviors from Natural Language with Large Language Models 提出一种基于LLM的实时游戏世界构建框架,通过自然语言生成结构化游戏行为。 large language model chain-of-thought
3 Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities 揭示大语言模型实体比较中的启发式偏见,并探究模型规模的影响 large language model chain-of-thought
4 ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models ChiKhaPo:大规模多语言基准,评估大语言模型的词汇理解与生成能力 large language model
5 Beacon: Single-Turn Diagnosis and Mitigation of Latent Sycophancy in Large Language Models Beacon:单轮诊断与缓解大语言模型中潜在的谄媚现象 large language model
6 Structured yet Bounded Temporal Understanding in Large Language Models 研究大型语言模型在不同时间参照框架下的时间理解能力 large language model
7 Natural Language Processing for Cardiology: A Narrative Review 综述性研究:利用自然语言处理技术解决心血管疾病领域的挑战 large language model multimodal
8 Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models 提出基于语义概念空间采样的Prompt校准方法,提升语言模型不确定性估计。 large language model
9 Vocab Diet: Reshaping the Vocabulary of LLMs with Vector Arithmetic 提出Vocab Diet,利用向量运算重塑LLM词汇表,提升词汇多样性。 large language model
10 Bits Leaked per Query: Information-Theoretic Bounds on Adversarial Attacks against LLMs 提出信息论框架,量化LLM对抗攻击中的信息泄露,指导透明度与安全性的平衡。 large language model
11 Neuronal Group Communication for Efficient Neural representation 提出神经元组通信(NGC)框架,提升神经网络效率、模块化和可解释性。 large language model
12 Verifiable Fine-Tuning for LLMs: Zero-Knowledge Training Proofs Bound to Data Provenance and Policy 提出可验证微调方法,为大语言模型提供数据溯源和策略约束的零知识训练证明。 large language model
13 U-Codec: Ultra Low Frame-rate Neural Speech Codec for Fast High-fidelity Speech Generation 提出U-Codec,一种超低帧率神经语音编解码器,用于快速高保真语音生成。 large language model
14 so much depends / upon / a whitespace: Why Whitespace Matters for Poets and LLMs 关注诗歌空白符:研究空白符对诗歌创作和LLM生成诗歌的影响 large language model
15 Investigating the Impact of Rationales for LLMs on Natural Language Understanding 研究推理链对LLM在自然语言理解任务中的影响,并提出相应优化方法 chain-of-thought
16 All You Need is One: Capsule Prompt Tuning with a Single Vector 提出CaPT:利用单向量胶囊提示调整,提升大语言模型在下游任务的性能。 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗
17 SafeSearch: Do Not Trade Safety for Utility in LLM Search Agents SafeSearch:提出兼顾安全与效用的LLM搜索代理多目标强化学习方法 reinforcement learning large language model
18 Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization 提出基于在线学习的防御框架,对抗迭代式越狱攻击 reinforcement learning large language model
19 Prompt-MII: Meta-Learning Instruction Induction for LLMs Prompt-MII:通过元学习指令归纳,提升大语言模型在上下文学习中的效率。 reinforcement learning large language model
20 MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning 提出MOSAIC框架,通过选择性自适应的掩码目标,实现文本嵌入模型在特定领域的对比学习。 contrastive learning

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
21 Atomic Literary Styling: Mechanistic Manipulation of Prose Generation in Neural Language Models 原子文学风格化:神经语言模型中散文生成的机制性操控 manipulation

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