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Intelligence at the Edge of Chaos
Paper • 2410.02536 • Published • 6 -
Large Language Models as Markov Chains
Paper • 2410.02724 • Published • 33 -
Learning the Latent Rules of a Game from Data: A Chess Story
Paper • 2410.02426 • Published • 4 -
Quantifying Generalization Complexity for Large Language Models
Paper • 2410.01769 • Published • 14
Yaochen Wang
MisakiWang
AI & ML interests
None yet
Recent Activity
upvoted
a
collection
3 days ago
Qwen3-VL
upvoted
a
paper
9 days ago
Visual Spatial Tuning
upvoted
a
paper
11 days ago
Lumine: An Open Recipe for Building Generalist Agents in 3D Open Worlds
Organizations
Data-driven
speed up
Agent
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VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Paper • 2403.10517 • Published • 37 -
SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents
Paper • 2403.08715 • Published • 21 -
On the Societal Impact of Open Foundation Models
Paper • 2403.07918 • Published • 17 -
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding
Paper • 2403.11481 • Published • 13
IAI
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Intelligence at the Edge of Chaos
Paper • 2410.02536 • Published • 6 -
Large Language Models as Markov Chains
Paper • 2410.02724 • Published • 33 -
Learning the Latent Rules of a Game from Data: A Chess Story
Paper • 2410.02426 • Published • 4 -
Quantifying Generalization Complexity for Large Language Models
Paper • 2410.01769 • Published • 14
Model
Data-driven
benchmark
speed up
Align
Agent
-
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Paper • 2403.10517 • Published • 37 -
SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents
Paper • 2403.08715 • Published • 21 -
On the Societal Impact of Open Foundation Models
Paper • 2403.07918 • Published • 17 -
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding
Paper • 2403.11481 • Published • 13