KID-22
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A curated (most recent) list of resources for Learning with Noisy Labels
TorchTune recipes for ranking using RM: ORPO recipe (single GPU + DDP) + DDP for DPO (to avoid existing bug in FSDP) + ranking evals
The implementation for ICLR 2025 Submission: From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions.
The implementation for CIKM 2024: Towards Completeness-Oriented Tool Retrieval for Large Language Models.
Simple replication of vec2text for pedagogy and fun
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
Code for "Neural Retrievers are Biased Towards LLM-Generated Content"
LLM Finetuning with peft
A comprehensive library for implementing LLMs, including a unified training pipeline and comprehensive model evaluation.
A unified evaluation framework for large language models
This is the repository for the Tool Learning survey.
[COLM-2024] List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs
This is the repository for the generative information retrieval survey.
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
This is the repository for our paper "INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning"
This is the repo for the survey of Bias and Fairness in IR with LLMs.
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
A survey and reflection on the latest research breakthroughs in LLM-generated Text detection, including data, detectors, metrics, current issues and future directions.
A curated list of awesome papers about information retrieval(IR) in the age of large language model(LLM). These include retrieval augmented large language model, large language model for informatio…
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.
Paper List of Pre-trained Foundation Recommender Models
Awesome papers on Language-Model-as-a-Service (LMaaS)
Must-read Papers on Knowledge Editing for Large Language Models.
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Tevatron - A flexible toolkit for neural retrieval research and development.