Alternatives and similar repositories for Instruction-Tuning-Survey

Users that are interested in Instruction-Tuning-Survey are comparing it to the libraries listed below

• alon-albalak / data-selection-survey
  A Survey on Data Selection for Language Models
  ☆247Updated 3 months ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆185Updated last year
• Spico197 / Humpback
  🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.
  ☆139Updated 3 months ago
• tianyi-lab / Superfiltering
  [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
  ☆170Updated 2 months ago
• OFA-Sys / InsTag
  InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning
  ☆268Updated 2 years ago
• OFA-Sys / gsm8k-ScRel
  Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
  ☆267Updated 11 months ago
• GAIR-NLP / auto-j
  Generative Judge for Evaluating Alignment
  ☆245Updated last year
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆163Updated last year
• QwenLM / AutoIF
  ☆305Updated last year
• Cohere-Labs-Community / parameter-efficient-moe
  ☆269Updated last year
• Hannibal046 / xRAG
  [Neurips2024] Source code for xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
  ☆150Updated last year
• AI21Labs / in-context-ralm
  ☆286Updated last year
• mtbench101 / mt-bench-101
  [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
  ☆105Updated last year
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆477Updated 10 months ago
• ZitongYang / Synthetic_Continued_Pretraining
  Code implementation of synthetic continued pretraining
  ☆123Updated 7 months ago
• QwenLM / ProcessBench
  Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"
  ☆170Updated 3 months ago
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆347Updated last year
• nick7nlp / Counting-Stars
  Counting-Stars (★)
  ☆83Updated 2 months ago
• ZigeW / data_management_LLM
  Collection of training data management explorations for large language models
  ☆332Updated last year
• bigai-nlco / LooGLE
  ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models
  ☆185Updated 10 months ago
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆129Updated last year
• pillowsofwind / Knowledge-Conflicts-Survey
  [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"
  ☆133Updated 11 months ago
• AGI-Edgerunners / LLM-Continual-Learning-Papers
  Must-read Papers on Large Language Model (LLM) Continual Learning
  ☆144Updated last year
• kongds / scaling_sentemb
  Scaling Sentence Embeddings with Large Language Models
  ☆111Updated last year
• LuckyyySTA / Awesome-LLM-hallucination
  LLM hallucination paper list
  ☆322Updated last year
• princeton-nlp / CEPE
  [ACL 2024] Long-Context Language Modeling with Parallel Encodings
  ☆157Updated last year
• sail-sg / regmix
  [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)
  ☆164Updated 6 months ago
• hkust-nlp / deita
  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
  ☆566Updated 8 months ago
• SuperBruceJia / Awesome-LLM-Self-Consistency
  Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models
  ☆107Updated last month
• i-Eval / FairEval
  ☆140Updated last year