txsun1997 / LMaaS-Papers
Awesome papers on Language-Model-as-a-Service (LMaaS)
β556Updated 9 months ago
Alternatives and similar repositories for LMaaS-Papers:
Users that are interested in LMaaS-Papers are comparing it to the libraries listed below
- Paper List for In-context Learning π·β836Updated 4 months ago
- Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.β281Updated last year
- ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Modelβ¦β265Updated 2 years ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).β760Updated last year
- The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>β332Updated 9 months ago
- A collection of phenomenons observed during the scaling of big foundation models, which may be developed into consensus, principles, or lβ¦β277Updated last year
- This project collects awesome resources (e.g., papers, open-source models) for large language model (LLM)β247Updated 10 months ago
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.β555Updated last year
- A paper & resource list of large language models, including course, paper, demo, figuresβ197Updated last year
- β396Updated 3 years ago
- Paper collections of retrieval-based (augmented) language model.β231Updated 8 months ago
- Resource, Evaluation and Detection Papers for ChatGPTβ457Updated 11 months ago
- [ACL 2023] Reasoning with Language Model Prompting: A Surveyβ935Updated last month
- Papers and Datasets on Instruction Tuning and Following. β¨β¨β¨β481Updated 10 months ago
- Must-read papers, related blogs and API tools on the pre-training and tuning methods for ChatGPT.β318Updated last year
- Aligning Large Language Models with Human: A Surveyβ718Updated last year
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.β546Updated last year
- Papers & Works for large languange models (OpenAI GPT-4, Meta Llama, etc.).β307Updated last week
- Paper List for In-context Learning π·β176Updated last year
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuningβ412Updated 4 months ago
- Collaborative Training of Large Language Models in an Efficient Wayβ411Updated 5 months ago
- Reading list of hallucination in LLMs. Check out our new survey paper: "Sirenβs Song in the AI Ocean: A Survey on Hallucination in Large β¦β984Updated 3 months ago
- All available datasets for Instruction Tuning of Large Language Modelsβ242Updated last year
- Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)β522Updated 2 years ago
- [NIPS2023] RRHF & Wombatβ799Updated last year
- Collection of training data management explorations for large language modelsβ310Updated 6 months ago
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.β499Updated 3 months ago
- An Awesome Collection for LLM Surveyβ327Updated 5 months ago
- Prod Envβ400Updated last year
- β346Updated 3 years ago