cs.LG(2025-06-24)
📊 共 5 篇论文 | 🔗 2 篇有代码
🎯 兴趣领域导航
支柱九:具身大模型 (Embodied Foundation Models) (3 🔗2)
支柱二:RL算法与架构 (RL & Architecture) (1)
支柱四:生成式动作 (Generative Motion) (1)
🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models | 提出Outlier-Safe预训练以解决大语言模型量化中的异常值问题 | large language model | ✅ | |
| 2 | Orthogonal Finetuning Made Scalable | 提出OFTv2以解决正交微调的计算瓶颈问题 | foundation model | ||
| 3 | Scaling Speculative Decoding with Lookahead Reasoning | 提出前瞻推理以提升推测解码速度 | chain-of-thought | ✅ |
🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 4 | Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models | 提出利用大语言模型进行开放式指令重标定以提升指令跟随策略 | reinforcement learning large language model instruction following |
🔬 支柱四:生成式动作 (Generative Motion) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 5 | Cross-Layer Discrete Concept Discovery for Interpreting Language Models | 提出跨层离散概念发现方法以解析语言模型 | VQ-VAE large language model |