Article 1 Why are LVLMs bad at picking up on hints? : Probing the Grounding Gap in Vision-Language Models
AnyGoal a compositional generalization suite for world model research HazelNam/anygoal Updated 4 days ago • 1 HazelNam/anygoal Updated 4 days ago • 364 • 2 AnyGoal: On World Model Generalization Beyond Expert Rollouts Paper • 2610.26844 • Published 6 days ago • 45
AnyGoal: On World Model Generalization Beyond Expert Rollouts Paper • 2610.26844 • Published 6 days ago • 45
Causal-JEPA Causal-JEPA: Learning World Models through Object-Level Latent Interventions Paper • 2602.11389 • Published Feb 11 • 13 HazelNam/CJEPA Image Feature Extraction • Updated Feb 19 • 8
Causal-JEPA: Learning World Models through Object-Level Latent Interventions Paper • 2602.11389 • Published Feb 11 • 13
AnyGoal a compositional generalization suite for world model research HazelNam/anygoal Updated 4 days ago • 1 HazelNam/anygoal Updated 4 days ago • 364 • 2 AnyGoal: On World Model Generalization Beyond Expert Rollouts Paper • 2610.26844 • Published 6 days ago • 45
AnyGoal: On World Model Generalization Beyond Expert Rollouts Paper • 2610.26844 • Published 6 days ago • 45
Causal-JEPA Causal-JEPA: Learning World Models through Object-Level Latent Interventions Paper • 2602.11389 • Published Feb 11 • 13 HazelNam/CJEPA Image Feature Extraction • Updated Feb 19 • 8
Causal-JEPA: Learning World Models through Object-Level Latent Interventions Paper • 2602.11389 • Published Feb 11 • 13
