cs.CL（2024-11-14）

📊 共 15 篇论文 | 🔗 4 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (15 🔗4)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (15 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Cross-Modal Consistency in Multimodal Large Language Models	提出跨模态一致性评估框架，揭示GPT-4V在视觉和语言模态间的不一致性	large language model multimodal
2	Piecing It All Together: Verifying Multi-Hop Multimodal Claims	提出MMCV数据集，用于评估多跳多模态信息的可信度验证	large language model multimodal
3	Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide	综述有限数据下大语言模型微调方法，提供实用指南	large language model
4	Task-Aligned Tool Recommendation for Large Language Models	提出PTR方法，为大语言模型精准推荐任务对齐的工具集	large language model
5	DROJ: A Prompt-Driven Attack against Large Language Models	提出DROJ，一种通过优化嵌入表示绕过LLM安全机制的提示攻击方法	large language model	✅
6	Evaluating Gender Bias in Large Language Models	评估大型语言模型在职业语境中基于代词选择的性别偏见	large language model
7	Evaluating the Predictive Capacity of ChatGPT for Academic Peer Review Outcomes Across Multiple Platforms	评估ChatGPT在多个平台预测学术同行评审结果的能力	large language model chain-of-thought
8	The Moral Foundations Weibo Corpus	构建道德基础微博语料库，用于中文道德情感分析与模型训练。	large language model
9	MM-Eval: A Hierarchical Benchmark for Modern Mongolian Evaluation in LLMs	MM-Eval：用于评估LLM在现代蒙古语能力的分层基准	large language model	✅
10	StreamAdapter: Efficient Test Time Adaptation from Contextual Streams	提出StreamAdapter以解决测试时适应效率低下问题	large language model
11	Squeezed Attention: Accelerating Long Context Length LLM Inference	Squeezed Attention：通过离线聚类和稀疏注意力加速长文本LLM推理。	large language model	✅
12	Adaptive Decoding via Latent Preference Optimization	提出基于隐偏好优化的自适应解码方法，动态调整语言模型生成温度以提升性能	instruction following
13	BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency	BabyLM挑战：探索变异集对语言模型训练效率的影响	large language model
14	DTELS: Towards Dynamic Granularity of Timeline Summarization	提出DTELS：一种动态粒度时间线摘要新范式，并构建了相应的基准数据集和评估框架。	large language model
15	P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs	P-MMEval：用于一致评估LLM的并行多语言多任务基准	large language model	✅

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