From the 1 of 6 linked papers with an AI index.
4 papers · 1 filter
CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning
El Hassane Ettifouri, Ayoub Belfatmi, Mahaman Sanoussi Yahaya Alassan +1
Quantized small autoregressive reasoning models can enter long, repetitive, or unproductive trajectories, yet inference-time compute is usually allocated without observing how a tr…
Calibrated e-CUSUM Decoding for Quantized Reasoning Models: Why Token Log-Probability Is the Wrong Observable for Decoding Monitors
El Hassane Ettifouri, Ayoub Belfatmi, Mahaman Sanoussi Yahaya Alassan +1
The paper shows that using centered token log‑probability as a monitor for quantized reasoning language models is ineffective, and proposes a training‑free calibrated e‑CUSUM decod…
From Words to Workflows: Automating Business Processes
Laura Minkova, Jessica López Espejel, Taki Eddine Toufik Djaidja +2
As businesses increasingly rely on automation to streamline operations, the limitations of Robotic Process Automation (RPA) have become apparent, particularly its dependence on exp…
Low-Cost Language Models: Survey and Performance Evaluation on Python Code Generation
Jessica López Espejel, Mahaman Sanoussi Yahaya Alassan, Merieme Bouhandi +2
Large Language Models (LLMs) have become a popular choice for many Natural Language Processing (NLP) tasks due to their versatility and ability to produce high-quality results. Spe…