Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
Code Graph & Graph Attention Mask
Note
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
通过 Repository-level 的 Code Graph 实现更为高效的工程代码生成
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
在知识图谱上实现 LLM, KG 的交替推理
Learnable Item Tokenization for Generative Recommendation
兼顾语义和协同信息的 Tokenizer
Climber: Toward Efficient Scaling Laws for Large Recommendation Models
一个 CTR 领域更加高效 Scaling 的推荐架构
Pctx: Tokenizing Personalized Context for Generative Recommendation
个性化 semantic IDs
RankMixer: Scaling Up Ranking Models in Industrial Recommenders
抖音在大模型推荐上的尝试
Limitations of Dense Retrieval and Beyond
向量检索的瓶颈以及生成式检索的未来
Scaling Laws
Scaling Laws 的细节推导
Understanding Embedding Scaling in Collaborative Filtering
理解 Scaling up Embedding Size 过程中会出现的 double-peak/logarithmic 现象