Alternatives and similar repositories for ExaRanker

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

• google-research / t5x_retrieval
  ☆101Updated 2 years ago
• oriram / spider
  ☆54Updated 2 years ago
• zetaalphavector / InPars
  Inquisitive Parrots for Search
  ☆196Updated 3 months ago
• google-research-datasets / swim-ir
  SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 la…
  ☆49Updated last year
• castorini / dhr
  Dense hybrid representations for text retrieval
  ☆63Updated 2 years ago
• terrierteam / pyterrier_doc2query
  ☆37Updated 2 weeks ago
• sebastian-hofstaetter / colberter
  ☆46Updated 3 years ago
• thakur-nandan / sprint
  SPRINT Toolkit helps you evaluate diverse neural sparse models easily using a single click on any IR dataset.
  ☆47Updated 2 years ago
• terrierteam / pyterrier_colbert
  ☆86Updated 5 months ago
• huggingface / olm-training
  Repo for training MLMs, CLMs, or T5-type models on the OLM pretraining data, but it should work with any hugging face text dataset.
  ☆94Updated 2 years ago
• chaitanyamalaviya / ExpertQA
  [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers
  ☆133Updated last year
• thakur-nandan / income
  INCOME: An Easy Repository for Training and Evaluation of Index Compression Methods in Dense Retrieval. Includes BPR and JPQ.
  ☆24Updated last year
• castorini / mr.tydi
  Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages.
  ☆79Updated 3 years ago
• castorini / ragnarok
  Retrieval-Augmented Generation battle!
  ☆58Updated last month
• McGill-NLP / instruct-qa
  Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"
  ☆86Updated last year
• orionw / FollowIR
  FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
  ☆46Updated last year
• seonghyeonye / Flipped-Learning
  [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
  ☆116Updated 2 months ago
• facebookresearch / tart
  Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.
  ☆163Updated last year
• castorini / umbrela
  ☆53Updated last month
• amazon-science / mintaka
  Dataset from the paper "Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering" (COLING 2022)
  ☆114Updated 2 years ago
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆99Updated 2 years ago
• katzurik / NERetrieve
  ☆28Updated last year
• facebookresearch / dpr-scale
  Scalable training for dense retrieval models.
  ☆299Updated 3 months ago
• ielab / Starbucks
  Starbucks: Improved Training for 2D Matryoshka Embeddings
  ☆21Updated 2 months ago
• guilhermemr04 / scaling-zero-shot-retrieval
  No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval
  ☆29Updated 2 years ago
• shayne-longpre / a-pretrainers-guide
  ☆72Updated 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 last year
• allenai / EmbeddingRecycling
  Embedding Recycling for Language models
  ☆39Updated 2 years ago
• Edward-Sun / RECITE
  Code of ICLR paper: https://openreview.net/forum?id=-cqvvvb-NkI
  ☆94Updated 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