AdaJEPA adapts a latent world model inside closed-loop MPC, using each observed transition as a self-supervised signal before the next replan.
Published: 2026-07-02
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.
Published: 2026-05-26
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.
Published: 2026-05-15
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.
Published: 2026-04-08
Inspired by the perceptual straightening hypothesis in human vision, we introduce temporal straightening to improve representation learning for latent planning.
Published: 2026-03-12
Cross-family verification is found to be especially effective, and post-training reduces self-improvement but strengthens cross-family improvement.
Published: 2025-12-02
In-Context Clustering (ICC) is a flexible LLM-based procedure for clustering data from diverse distributions.
Published: 2025-10-09
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.
Published: 2025-10-08
Midway Network is a new self-supervised learning architecture that learns strong visual representations for both object recognition and motion understanding solely from natural videos by modeling latent dynamics.
Published: 2025-10-07
StreamMem is a query-agnostic KV cache memory mechanism for streaming video understanding.
Published: 2025-08-21
Context Tuning directly optimizes an LLM's memory representation for efficient adaptation without updating model weights.
Published: 2026-07-03
Memory Storyboard groups recent past frames into temporal segments and provides effective summarization of the past visual streams for memory replay.
Published: 2025-01-21
Our new benchmark, Daily Oracle, automatically generates question-answer (QA) pairs from daily news, challenging LLMs to predict "future" events based on pre-training data.
Published: 2024-11-13
ProCreate is a simple and easy-to-implement method to improve sample diversity and creativity of diffusion-based image generative models and to prevent training data reproduction.
Published: 2024-08-05
