Alternatives and similar repositories for ragbooster

Users that are interested in ragbooster are comparing it to the libraries listed below

• zetaalphavector / InPars
  Inquisitive Parrots for Search
  ☆198Updated 6 months ago
• castorini / umbrela
  ☆53Updated 4 months ago
• unicamp-dl / ExaRanker
  ☆29Updated last year
• sebastian-hofstaetter / colberter
  ☆46Updated 3 years ago
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆107Updated 2 years ago
• orionw / FollowIR
  FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
  ☆49Updated last year
• neulab / ragged
  Retrieval Augmented Generation Generalized Evaluation Dataset
  ☆58Updated 4 months ago
• Edward-Sun / RECITE
  Code of ICLR paper: https://openreview.net/forum?id=-cqvvvb-NkI
  ☆95Updated 2 years ago
• boschresearch / switchprompt
  Resources related to EACL 2023 paper "SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domain…
  ☆52Updated 2 years ago
• oriyor / reasoning-on-cots
  Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"
  ☆96Updated last year
• chaitanyamalaviya / ExpertQA
  [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers
  ☆135Updated last year
• oriram / spider
  ☆54Updated 2 years ago
• google-research-datasets / Attributed-QA
  We believe the ability of an LLM to attribute the text that it generates is likely to be crucial for both system developers and users in …
  ☆54Updated 2 years ago
• facebookresearch / tart
  Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.
  ☆165Updated 2 years ago
• salesforce / summary-of-a-haystack
  Codebase accompanying the Summary of a Haystack paper.
  ☆79Updated last year
• ruiqi-zhong / D5
  The GitHub repo for Goal Driven Discovery of Distributional Differences via Language Descriptions
  ☆71Updated 2 years ago
• jingtaozhan / disentangled-retriever
  An easy-to-use python toolkit for flexibly adapting various neural ranking models to target domain.
  ☆60Updated 2 years ago
• HazyResearch / fm_data_tasks
  Foundation Models for Data Tasks
  ☆110Updated 2 years ago
• OpenMatch / COCO-DR
  [EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contr…
  ☆50Updated 2 years ago
• cambridgeltl / PairS
  Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)
  ☆48Updated 10 months ago
• msclar / formatspread
  Code accompanying "How I learned to start worrying about prompt formatting".
  ☆112Updated 5 months ago
• allenai / catwalk
  This project studies the performance and robustness of language models and task-adaptation methods.
  ☆155Updated last year
• DaoD / INTERS
  This is the repository for our paper "INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning"
  ☆206Updated 11 months ago
• viswavi / few-shot-clustering
  ☆80Updated last year
• reasoning-machines / prompt-lib
  A set of utilities for running few-shot prompting experiments on large-language models
  ☆126Updated 2 years ago
• jongjyh / TrFr
  Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning
  ☆46Updated last year
• salesforce / AuditNLG
  AuditNLG: Auditing Generative AI Language Modeling for Trustworthiness
  ☆101Updated 10 months ago
• seonghyeonye / Flipped-Learning
  [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
  ☆116Updated 5 months ago
• SALT-NLP / demonstrated-feedback
  ☆129Updated last year
• Upaya07 / NeurIPS-llm-efficiency-challenge
  Code for NeurIPS LLM Efficiency Challenge
  ☆59Updated last year