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 Reinforcement Learning • Updated 11 days ago • 1 HazelNam/anygoal Updated 11 days ago • 846 • 2 AnyGoal: On World Model Generalization Beyond Expert Rollouts Paper • 2610.26844 • Published 17 days ago • 38
AnyGoal: On World Model Generalization Beyond Expert Rollouts Paper • 2610.26844 • Published 17 days ago • 38
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 • 9
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 Reinforcement Learning • Updated 11 days ago • 1 HazelNam/anygoal Updated 11 days ago • 846 • 2 AnyGoal: On World Model Generalization Beyond Expert Rollouts Paper • 2610.26844 • Published 17 days ago • 38
AnyGoal: On World Model Generalization Beyond Expert Rollouts Paper • 2610.26844 • Published 17 days ago • 38
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 • 9
Causal-JEPA: Learning World Models through Object-Level Latent Interventions Paper • 2602.11389 • Published Feb 11 • 13