cs.CL(2026-07-14)
📊 共 11 篇论文 | 🔗 1 篇有代码
🎯 兴趣领域导航
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 |