A survey on harmful fine-tuning attack for large language model
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Updated
Oct 8, 2025
A survey on harmful fine-tuning attack for large language model
Biologically based neural network simulations of the brain written in Go with a 3D GUI powered by Cogent Core.
Simulations for the Computational Cognitive Neuroscience textbook
A one-page, Visual Canvas for Emerging Technology Evaluation, in the style of “the Business model Canvas".
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
This is the official code for the paper "Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation"
This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)
This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation" (ICLR2025 Oral).
emergent GUI and other support for pytorch networks: provides a NetView for torch networks
This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)
Original C++ version of emergent: originally hosted under svn at https://grey.colorado.edu/svn/emergent
Source data and code supporting model-based analysis of emergent properties (ECA) of soil enzyme-driven organic matter decomposition
Idea generation for a deep ultraviolet LASER lithography system compiled into a repository by Onri Jay Benally.
Simple USSD application - Africastalking
An emergent design generator framework based on Java APT.
a groundbreaking multi-layered cognitive architecture for artificial intelligence (AI) that integrates several advanced concepts to create a unified framework for self-optimizing intelligence.
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