CoRR · 2026-07-02
AdaJEPA adapts a latent world model inside closed-loop MPC, using each observed transition as a self-supervised signal before the next replan.
CoRR · 2026-06-03
BabyCL is a continual multimodal learning framework that processes a child's SAYCam egocentric stream in a single chronological pass, jointly learning visual representations and word semantics.
CoRR · 2026-05-26
A simple post-hoc calibrator that maps an LLM's verbalized point forecast to a Beta distribution over event probability, trained on binary outcomes and human forecasts.
CoRR · 2026-05-15
Creativity is producing stimuli that are unfamiliar at first sight but quickly learnable from a few exposures. A Creator-Appraiser meta-learning loop lets a frozen diffusion model generate novel concepts the base model would not.
PhilPapers preprint · 2026-04-08
We argue self-consciousness requires a learned self — bounded integration of experience produces a perspective that, under continuous order-sensitive learning, becomes a temporally extended identity that current AI systems lack.
ICML 2026 · 2026-03-12
Inspired by the perceptual straightening hypothesis in human vision, we introduce temporal straightening to improve representation learning for latent planning.
CoRR · 2025-10-09
In-Context Clustering (ICC) is a flexible LLM-based procedure for clustering data from diverse distributions.
ICLR 2026 · 2025-10-08
Action-conditioned Root mean squared Q-Functions (ARQ) is a novel backprop-free value estimation method that applies a goodness function and action conditioning for local reinforcement learning.
ICML 2026 · 2025-07-06
Context Tuning directly optimizes an LLM's memory representation for efficient adaptation without updating model weights.
