MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

[ACL 2023] Reasoning with Language Model Prompting: A Survey

GPT-3: Language Models are Few-Shot Learners

Inference code for Llama models

Large-scale pretrained models for goal-directed dialog

Aligning pretrained language models with instruction data generated by themselves.

A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.

Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).

Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

The prediction results of ChatGPT on various datasets of Text-to-SQL.

The Pytorch implementation of RESDSQL (AAAI 2023).

Fast and memory-efficient exact attention

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Open Academic Research on Improving LLaMA to SOTA LLM

Awesome-LLM: a curated list of Large Language Model

scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge

PICARD - Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. PICARD is a ServiceNow Research project that was started at Element AI.

A efficient and effective few-shot NL2SQL method on GPT-4.

Mamba SSM architecture

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

DataComp for Language Models