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Simon Yu's Projects

adv-retreival-icl icon adv-retreival-icl

Codebase for the paper "Evaluating the Adversarial Robustness of Retrieval-Based In-Context Learning for Large Language Models"

advprompter icon advprompter

Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873

decodingtrust icon decodingtrust

A Comprehensive Assessment of Trustworthiness in GPT Models

deep-casas icon deep-casas

Deep learning and LSTM approaches for human activity recognition

deita icon deita

Deita: Data-Efficient Instruction Tuning for Alignment

dkn icon dkn

A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)

easylm icon easylm

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

helm icon helm

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110).

hiagm icon hiagm

Hierarchy-Aware Global Model for Hierarchical Text Classification

himatch icon himatch

Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification

htcinfomax icon htcinfomax

The code for our NAACL 2021 paper "HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization".

mvp icon mvp

Official Repository for the paper "Model-tuning Via Prompts Makes NLP Models More Robust"

ruler icon ruler

This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?

seq_it icon seq_it

The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from alpaca-lora and LAVIS

textattack icon textattack

TextAttack πŸ™ is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

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