cs.CL(2026-07-14)

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支柱九:具身大模型 (Embodied Foundation Models) (7 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (2) 支柱一:机器人控制 (Robot Control) (1) 支柱三:空间感知与语义 (Perception & Semantics) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (7 篇)

#题目一句话要点标签🔗
1 Epistemic Stance Flexibility Probing: Measuring Prompt-Conditioned Register Shift in Large Language Models 提出ESFP基准以评估语言模型的认知立场灵活性 large language model instruction following
2 Evaluating Large Language Models on Misconceptions in Multi-Turn Medical Conversations 提出ThReadMed-QA以评估多轮医疗对话中的误解问题 large language model
3 Segregate, Refine, Integrate: Decomposing Multimodal Fusion for Sentiment Analysis 提出SeRIn以解决多模态融合中的信号精炼与交互建模问题 multimodal
4 Language Identification with Succinct Machine-Independent Traces 提出小字母表的计算追踪以解决语言识别问题 large language model chain-of-thought
5 PalmClaw: A Native On-Device Agent Framework for Mobile Phones 提出PalmClaw框架以提升移动设备上的智能代理性能 large language model
6 Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making? 探讨情感诱导对大语言模型决策行为的影响 large language model
7 The Illusion of Robustness: Aggregate Accuracy Hides Prediction Flips under Task-Irrelevant Context 揭示任务无关上下文对语言模型预测的影响 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
8 From Critic to Confidence: PPO for Language-Based Quantitative Prediction with Confidence Estimation 提出CARE-PPO框架以解决语言预测中的信心估计问题 reinforcement learning PPO instruction following
9 Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning 提出Ring-Zero以解决大规模零强化学习的推理能力问题 reinforcement learning chain-of-thought

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
10 KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill 提出KnowAct-GUIClaw以解决OpenClaw的GUI交互与自我进化问题 manipulation

🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗
11 Can LLMs Write Reliable Rubrics? A Meta-Evaluation for Experiment Reproduction 提出系统性元评估以优化LLM生成的评估标准 affordance

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