cs.CL（2024-03-12）

📊 共 28 篇论文 | 🔗 4 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (21 🔗3) 支柱二：RL算法与架构 (RL & Architecture) (6 🔗1) 支柱七：动作重定向 (Motion Retargeting) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (21 篇)

#题目一句话要点标签🔗⭐
1 Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation 提出轻量级多模态模型以解决放射学临床应用中的可及性问题 foundation model multimodal
2 LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code 提出LiveCodeBench以解决现有代码评估基准不足问题 large language model
3 SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models 提出SmallToLarge以提升大语言模型的微调数据选择效率 large language model
4 SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression 提出SVD-LLM以解决大语言模型压缩中的损失问题 large language model ✅
5 Knowledge Graph Large Language Model (KG-LLM) for Link Prediction 提出KG-LLM框架以解决知识图谱中的多跳链接预测问题 large language model
6 Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection 利用大语言模型提升仇恨言论检测的有效性 large language model
7 FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models 提出FineMath以评估中文大语言模型的数学推理能力 large language model
8 Rethinking Generative Large Language Model Evaluation for Semantic Comprehension 提出RWQ-Elo评分系统以解决LLM评估不一致问题 large language model
9 Fine-tuning Large Language Models with Sequential Instructions 提出顺序指令微调方法以解决多指令响应问题 large language model
10 StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models 提出StableToolBench以解决工具学习基准评估不稳定问题 large language model
11 Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts 提出真相感知上下文选择方法以解决大语言模型的幻觉问题 large language model
12 VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark 提出VLKEB基准以解决大规模视觉语言模型知识编辑问题 large language model ✅
13 Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems 提出RAG与FN结合的知识系统以提升生成模型性能 large language model
14 SIFiD: Reassess Summary Factual Inconsistency Detection with LLM 提出SIFiD以解决摘要与原文之间的事实不一致问题 large language model
15 A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism 提出CypherTalk以解决LLM成本与隐私权衡问题 large language model
16 Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM 提出Branch-Train-MiX以提升大语言模型的多领域能力 large language model
17 Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization 提出基于语言模型的数据增强框架以解决情感偏见问题 large language model
18 Big City Bias: Evaluating the Impact of Metropolitan Size on Computational Job Market Abilities of Language Models 量化大城市偏见以优化语言模型在就业市场的表现 large language model
19 Debatrix: Multi-dimensional Debate Judge with Iterative Chronological Analysis Based on LLM 提出Debatrix以解决多轮辩论自动评估问题 large language model ✅
20 Efficiently Quantifying and Mitigating Ripple Effects in Model Editing 提出GIE和SIR以解决模型编辑中的涟漪效应问题 large language model
21 MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions 提出MoralBERT以捕捉社交讨论中的道德价值观 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (6 篇)

#题目一句话要点标签🔗⭐
22 CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion 提出CodeAttack框架以揭示大语言模型的安全泛化挑战 reinforcement learning large language model
23 Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences 提出Curry-DPO以提升大语言模型的对齐效果 DPO direct preference optimization curriculum learning ✅
24 Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards 提出对比奖励以增强人类反馈强化学习的鲁棒性 reinforcement learning PPO RLHF
25 LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model 提出基于大语言模型的文本增强方法以提升个性检测性能 contrastive learning large language model
26 Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning 提出简约标记方案与对比学习以解决AST问题 contrastive learning large language model
27 Fine-tuning vs Prompting, Can Language Models Understand Human Values? 提出微调与提示调优方法以解决人类价值理解问题 RLHF large language model

🔬 支柱七：动作重定向 (Motion Retargeting) (1 篇)

#题目一句话要点标签🔗⭐
28 LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristics 提出LaERC-S以解决对话中的情感识别问题 motion prediction large language model

⬅️ 返回 cs.CL 首页 · 🏠 返回主页