3 papers
cs.CL2026
Muse Glimmer 30B: An On-Device Agentic Model
Arash Ebrahim Abtahizadeh, Muna Aghamelu, Adil Ahmed +327
We introduce Muse Glimmer, an open-source 30B parameter causal language model with perception encoder, purpose-built for autonomous agentic tasks on consumer hardware. Muse Glimmer…
cs.IR2026
Enhancing LLMs through human feedback: a journey towards self-improvement
Tatiana Pelc, Gila Kamhi, Asaf Avrahamy +1
In the rapidly evolving landscape of information retrieval systems, the ability to adapt and improve through user feedback is paramount. This study introduces a novel methodology f…
cs.CL2026
Disentangling MLP Neuron Weights in Vocabulary Space
Asaf Avrahamy, Yoav Gur-Arieh, Mor Geva
Interpreting the information encoded in language model weights remains a fundamental challenge in mechanistic interpretability. In this work, we introduce ROTATE (Rotation-Optimize…