cs.CL(2024-12-25)

📊 共 10 篇论文 | 🔗 2 篇有代码

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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) (3 🔗1)

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

#题目一句话要点标签🔗
1 RapGuard: Safeguarding Multimodal Large Language Models via Rationale-aware Defensive Prompting 提出RapGuard,通过情境感知防御提示保障多模态大语言模型安全 large language model multimodal chain-of-thought
2 Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks 提出改进LoRA微调算法,优化大语言模型在NLP任务中的效率和鲁棒性 large language model
3 Towards Expressive Video Dubbing with Multiscale Multimodal Context Interaction 提出M2CI-Dubber,通过多尺度多模态上下文交互增强视频配音表现力 multimodal
4 Using Large Language Models for Automated Grading of Student Writing about Science 利用大型语言模型自动评估学生科学写作,可靠性媲美教师评分。 large language model
5 Whose Morality Do They Speak? Unraveling Cultural Bias in Multilingual Language Models 揭示多语言模型中的文化偏见:道德价值观的跨文化一致性研究 large language model
6 Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference 提出Dovetail以解决LLM推理中的资源利用不足问题 large language model
7 DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search 提出DCIS算法,通过分治策略搜索RoPE缩放因子,高效扩展LLM上下文长度。 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗
8 MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models MedHallBench:用于评估医学大语言模型幻觉的新基准 reinforcement learning RLHF large language model
9 Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning 提出基于强化学习微调的LLM语音识别方法,提升对病理语音的识别能力 reinforcement learning RLHF large language model
10 Intra- and Inter-modal Context Interaction Modeling for Conversational Speech Synthesis 提出III-CSS模型,显式建模对话语音合成中的模内与模间上下文交互 contrastive learning multimodal

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