Find a story
Search Spins
Search titles, summaries, and missing voices across published articles — press releases, announcements, and media coverage.
3 results for “language generation”
Your thoughts on RNN's (RWKV approach) for language generation
A Reddit user poses an informal, speculative question about RWKV—a recurrent neural network architecture—as a potentially cheaper, faster alternative to transformer-based LLMs for repetitive tasks like coding, based on unverified personal benchmarking.
Aug 15, 2026
Beyond a Global Norm: Personalizing Toxicity Sensitivity in Language Models Without Retraining
Researchers introduced a new framework for personalizing language model toxicity sensitivity without retraining, using inference-time interventions across pre-, in-, and post-decoding stages, revealing trade-offs between alignment accuracy, personalization, and language quality.
Jul 28, 2026
Feedback Manipulation Regularization: Enabling Offline Agent Alignment for Imitation Learning
Researchers introduce Feedback Manipulation Regularization (FMR), an algorithm-agnostic method that uses evaluative feedback to improve alignment in offline imitation learning, validated on adapted Safety Gymnasium environments with up to 98% reduction in misalignment.
Jul 10, 2026