cs.CL（2025-05-05）

📊 共 18 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) (10 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (8 🔗3)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (10 篇)

#题目一句话要点标签🔗⭐
1 Bye-bye, Bluebook? Automating Legal Procedure with Large Language Models 利用大型语言模型自动化法律程序以应对复杂引用规则 large language model
2 Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture 提出轻量级融合架构以提升多模态情感分析准确性 multimodal
3 Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering 提出AttenHScore以解决小型语言模型的幻觉检测问题 large language model
4 LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis 提出LLaMA-Omni2以实现实时智能语音聊天机器人 large language model instruction following
5 ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization 提出ReplaceMe以解决变换器块简化问题 large language model ✅
6 Memorization or Interpolation ? Detecting LLM Memorization through Input Perturbation Analysis 提出PEARL以检测大型语言模型的记忆现象 large language model
7 Improving Model Alignment Through Collective Intelligence of Open-Source LLMS 提出混合代理对齐方法以解决大语言模型对齐问题 large language model
8 UCSC at SemEval-2025 Task 3: Context, Models and Prompt Optimization for Automated Hallucination Detection in LLM Output 提出框架以优化大语言模型的幻觉检测 large language model
9 Predicting Movie Hits Before They Happen with LLMs 利用大型语言模型预测电影热度以解决冷启动问题 large language model
10 Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMs 提出多语言交叉性性别与国家偏见研究以改善职业推荐 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (8 篇)

#题目一句话要点标签🔗⭐
11 RADLADS: Rapid Attention Distillation to Linear Attention Decoders at Scale 提出RADLADS以快速转换软max注意力变换器为线性解码模型 linear attention distillation ✅
12 RM-R1: Reward Modeling as Reasoning 提出基于推理的奖励建模方法以提升模型性能 reinforcement learning distillation large language model ✅
13 A Survey on Progress in LLM Alignment from the Perspective of Reward Design 提出奖励设计框架以提升大语言模型的对齐能力 reinforcement learning reward design large language model
14 Generative Sign-description Prompts with Multi-positive Contrastive Learning for Sign Language Recognition 提出GSP-MC方法以解决手语识别中的标注准确性问题 contrastive learning large language model
15 EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning 提出EMORL框架以解决多目标强化学习的效率与灵活性问题 reinforcement learning large language model
16 Sailing by the Stars: A Survey on Reward Models and Learning Strategies for Learning from Rewards 提出奖励模型与学习策略以优化大语言模型的学习过程 reinforcement learning RLHF DPO ✅
17 JTCSE: Joint Tensor-Modulus Constraints and Cross-Attention for Unsupervised Contrastive Learning of Sentence Embeddings 提出JTCSE框架以增强无监督对比学习的句子嵌入 contrastive learning distillation
18 SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning 提出SIMPLEMIX以解决语言模型偏好学习中的数据混合问题 preference learning DPO

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