dqxiu / ICL_PaperList
Paper List for In-context Learning π·
β836Updated 4 months ago
Alternatives and similar repositories for ICL_PaperList:
Users that are interested in ICL_PaperList are comparing it to the libraries listed below
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).β760Updated last year
- 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
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.β555Updated last year
- [ACL 2023] Reasoning with Language Model Prompting: A Surveyβ935Updated last month
- Aligning Large Language Models with Human: A Surveyβ718Updated last year
- Papers and Datasets on Instruction Tuning and Following. β¨β¨β¨β481Updated 10 months ago
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"β1,127Updated 11 months ago
- Must-read Papers on Knowledge Editing for Large Language Models.β1,007Updated this week
- Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.β281Updated last year
- Awesome papers on Language-Model-as-a-Service (LMaaS)β556Updated 9 months ago
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.β546Updated last year
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.β499Updated 3 months ago
- A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".β2,004Updated last year
- [NIPS2023] RRHF & Wombatβ799Updated last year
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuningβ412Updated 4 months ago
- Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)β522Updated 2 years ago
- Paper List for In-context Learning π·β176Updated last year
- A plug-and-play library for parameter-efficient-tuning (Delta Tuning)β1,013Updated 5 months ago
- Prod Envβ400Updated last year
- Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Modelsβ714Updated 8 months ago
- Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.β592Updated this week
- Prefix-Tuning: Optimizing Continuous Prompts for Generationβ910Updated 9 months ago
- Resource, Evaluation and Detection Papers for ChatGPTβ457Updated 11 months ago
- β889Updated 6 months ago
- Secrets of RLHF in Large Language Models Part I: PPOβ1,318Updated 11 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).β804Updated last week
- A collection of phenomenons observed during the scaling of big foundation models, which may be developed into consensus, principles, or lβ¦β277Updated last year
- A paper & resource list of large language models, including course, paper, demo, figuresβ197Updated last year
- An Awesome Collection for LLM Surveyβ327Updated 5 months ago
- The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>β332Updated 9 months ago