lejin
lv12
AI & ML interests
reinforcement learning; graph neural networks; optimization; information retrieval; robotics; complex systems
Recent Activity
updated
a model
about 5 hours ago
lv12/sin-qac-model
published
a model
about 5 hours ago
lv12/sin-qac-model
liked
a model
about 17 hours ago
kenhktsui/finefineweb-domain-fasttext-classifier
Organizations
None yet
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Text and Code Embeddings by Contrastive Pre-Training
Paper • 2201.10005 • Published -
Towards General Text Embeddings with Multi-stage Contrastive Learning
Paper • 2308.03281 • Published • 2 -
Nomic Embed: Training a Reproducible Long Context Text Embedder
Paper • 2402.01613 • Published • 15 -
Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training
Paper • 2405.06932 • Published • 20
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Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
Paper • 2312.03664 • Published • 11 -
Generative Agents: Interactive Simulacra of Human Behavior
Paper • 2304.03442 • Published • 14 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 57
-
Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
Paper • 2312.03664 • Published • 11 -
Generative Agents: Interactive Simulacra of Human Behavior
Paper • 2304.03442 • Published • 14 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 57
-
Text and Code Embeddings by Contrastive Pre-Training
Paper • 2201.10005 • Published -
Towards General Text Embeddings with Multi-stage Contrastive Learning
Paper • 2308.03281 • Published • 2 -
Nomic Embed: Training a Reproducible Long Context Text Embedder
Paper • 2402.01613 • Published • 15 -
Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training
Paper • 2405.06932 • Published • 20