Alternatives and similar repositories for massive-serve

Users that are interested in massive-serve are comparing it to the libraries listed below

• orionw / FollowIR
  FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
  ☆47Updated last year
• CodeCreator / WebOrganizer
  Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
  ☆64Updated 5 months ago
• xlang-ai / BRIGHT
  [ICLR 2025] BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
  ☆167Updated 2 weeks ago
• swj0419 / in-context-pretraining
  ☆54Updated last year
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆22Updated last year
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆78Updated 2 years ago
• ielab / PromptReps
  Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
  ☆51Updated 3 months ago
• allenai / bff
  ☆39Updated last year
• thu-coai / PICL
  Code for ACL2023 paper: Pre-Training to Learn in Context
  ☆107Updated last year
• jzbjyb / ReAtt
  Retrieval as Attention
  ☆83Updated 2 years ago
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆99Updated 2 years ago
• allenai / data-efficient-finetuning
  Code for paper 'Data-Efficient FineTuning'
  ☆28Updated 2 years ago
• EleutherAI / pile_dedupe
  Pile Deduplication Code
  ☆19Updated 2 years ago
• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆32Updated last year
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆74Updated 10 months ago
• abertsch72 / long-context-icl
  Data and code for the preprint "In-Context Learning with Long-Context Models: An In-Depth Exploration"
  ☆39Updated last year
• texttron / BrowseComp-Plus
  BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent
  ☆83Updated last month
• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆148Updated 11 months ago
• nayeon7lee / FactualityPrompt
  ☆86Updated 2 years ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆41Updated 2 years ago
• GAIR-NLP / benbench
  Benchmarking Benchmark Leakage in Large Language Models
  ☆55Updated last year
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆49Updated last month
• princeton-nlp / LitSearch
  [EMNLP 2024] A Retrieval Benchmark for Scientific Literature Search
  ☆98Updated 10 months ago
• kaistAI / factual-knowledge-acquisition
  ☆22Updated last month
• HKUNLP / STRING
  [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"
  ☆77Updated 10 months ago
• eladsegal / strategyqa
  The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
  ☆80Updated 2 years ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆188Updated last year
• WadeYin9712 / Dynosaur
  Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)
  ☆64Updated last year
• allenai / peS2o
  Pretraining Efficiently on S2ORC!
  ☆169Updated 11 months ago
• hadasah / btm
  ☆75Updated last year