Good Memory Has ECC: Evaluating the Memory of Vision-Language Models Beyond Accuracy
cs.LG, cs.AI
Submitted: 2026-08-31
Updated: 2026-08-31
Code: https://github.com/gkamradt/LLMTest_
Terminology
Sources
- Just read twice: closing the recall gap for recurrent language models
- FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
- MoM: Linear Sequence Modeling with Mixture-of-Memories
- Mamba: Linear-Time Sequence Modeling with Selective State Spaces
- The Counting Power of Transformers
- StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding
- MemGPT: Towards LLMs as Operating Systems
- Compressive Transformers for Long-Range Sequence Modelling
- Learning to (Learn at Test Time): RNNs with Expressive Hidden States
- Calibration in Deep Learning: A Survey of the State-of-the-Art
- Needle In A Multimodal Haystack
- Memory Networks
- Parallelizing Linear Transformers with the Delta Rule over Sequence Length
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks