Qingyi Si

Alpaca-CoT. We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！

VQA-VS. Code for our EMNLP-2022 paper: "Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA"

SAR. Code for our ACL2021 paper: "Check It Again: Progressive Visual Question Answering via Visual Entailment"

MMBS. Code for our EMNLP-2022 paper: "Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning"

CTIR. Code of our IJCAI2021 paper: "Learning Class-Transductive Intent Representations for Zero-shot Intent Detection"

Thinking-while-Observing. Code for our ACL-2023 paper: "Combo of Thinking and Observing for Outside-Knowledge VQA"

Compress-Robust-VQA. Code for our EMNLP-2023 paper: "Compressing and Debiasing Vision-Language Models for Visual Question Answering".

LLMSurvey. The official GitHub page for the survey paper "A Survey of Large Language Models".

MN_NICER. Python

acl2020-confidence-regularization. Python

Safety-Prompts. Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts，用于评估和提升大模型的安全性。