Category: MIT

  • Supplemental material to the paper From Zero-Shot to Reward-Aware: Evaluating Prompting and Memory in LLM-Based Cyber Defense Agents

    • MIT
    • News
    Large language models (LLMs) emerge as promising candidates for autonomous cyber defense (ACD), yet their reliability, and adaptability remain uncertain. This work presents a systematic…

  • SENS-ASRM

    • MIT
    • News
    • Python
    SENS-ASRM is a research project dedicated to improving streaming automatic speech recognition under low-latency constraints. The method enriches acoustic representations with semantic information inferred from…

  • sstracking_metrics

    • MIT
    • News
    • Python
    sstracking_metrics provides a Python pipeline for evaluating Sound Source Tracking (SST) systems. Given a multichannel audio recording, an SST system estimates the time-varying positions of…

  • TimeStress

    • MIT
    • News
    • Python
    TimeStress is a dataset designed to evaluate the temporal representation of facts in large language models (LLMs) by assessing their ability to distinguish between correct…

  • Microtune

    • CC-BY-SA-4.0
    • Database
    • MIT
    • News
    • Python
    Microtune is an autonomous agent that dynamically controls the size of the memory cache used by a relational database (tested on MariaDB). Its objective (FinOps)…

  • Manage decentralized applications lifecycle with Compose

    • Blockchains
    • Development
    • MIT
    • News
    • Scala
    • TypeScript
    Compose is an application, that allows for the management of the lifecycle of decentralized applications. This includes the design and deployment of these applications, as…

  • An extension of Spring HATEOAS library, compliant with TMF630

    • MIT
    • News
    The Spring-TMF630 project is an extension of the Spring HATEOAS library. It supports a new media type, that complies with TMF630 REST API Design Guidelines,…

  • A dataset designed as a resource to perform atomic factual knowledge updates

    • AI
    • MIT
    • Python
    WikiFactDiff is a dataset designed as a resource to perform atomic factual knowledge updates on language models, with the goal of aligning them with current…

  • Towards efficient self-supervised representation learning in speech processing

    • AI
    • MIT
    • Python
    Speech processing models are computationally expensive, generating environmental concerns because of their high energy consumption. ESSL (Efficient Self-Supervised Learning) addresses this issue, enabling pretraining with…

  • An IoT development kit with IoT Continuum

    • C
    • C++
    • IoT
    • MIT
    IoT Continuum  allows you to gain in efficiency by capitalising on everything that has been achieved in the previous development cycles of your industrial IoT…