This is the official code repository for the ACL Findings Paper "Multi-Task Transfer Matters During Instruction-Tuning"
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Updated
May 28, 2024
This is the official code repository for the ACL Findings Paper "Multi-Task Transfer Matters During Instruction-Tuning"
✨✨Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
总结Prompt&LLM论文,开源数据&模型,AIGC应用
Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
An open-source framework for training large multimodal models.
Distill knowledge from in-context learning into efficient LoRA adapters, enabling expert LLM performance with smaller context windows.
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Generative AI-based Software for Material Property and Database Generation
The official GitHub page for the survey paper "A Survey of Large Language Models".
Code of the paper "On the adaptation of in-context learners for system identification" by Dario Piga, Filippo Pura, and Marco Forgione
Must-read Papers on LLM Agents.
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.
Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization
An Easy-to-use Instruction Processing Framework for LLMs.
[AAAI 2024] The official repository for our paper, "OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples"
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
Papers and Datasets on Instruction Tuning and Following. ✨✨✨
Fine-Tuning Text Pre-Trained Transformers to In-Context Learn Simple Function Classes.
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