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continual learning 12 reinforcement learning 10 benchmarking 5 autoregressive models 4 vision-language models 4 diffusion transformers 3 multimodal learning 3

21 JUL 2026 · Paper

Scaling Laws for Hypernetwork-Based Knowledge Injection in Large Language Models

This paper investigates using hypernetworks for large-scale knowledge injection into language models, a technique that can improve their ability to answer factual questions. Practitioners may care because it could lead to more accurate and scalable language models for applications like customer service or question-answering systems.

hypernetworks large language models continual learning knowledge injection scalability

20 JUL 2026 · Paper

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks

This paper proposes a new way for large language models to learn from feedback, allowing them to retain more detailed information about the quality of their responses and learn from it in a more nuanced way. Practitioners might care because this approach could lead to better performance on tasks where the model doesn't have a clear way to evaluate its own output.

reinforcement learning large language models experiential learning feedback models teacher models