Alternatives and similar repositories for DataMan

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

• GAIR-NLP / LIMR
  ☆214Updated 11 months ago
• sail-sg / regmix
  [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)
  ☆186Updated 11 months ago
• hahahawu / Long-to-Short-via-Model-Merging
  Model merging is a highly efficient approach for long-to-short reasoning.
  ☆98Updated 3 months ago
• IAAR-Shanghai / xVerify
  xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
  ☆143Updated 2 months ago
• InternLM / POLAR
  Pre-trained, Scalable, High-performance Reward Models via Policy Discriminative Learning.
  ☆164Updated 4 months ago
• sail-sg / sdft
  [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
  ☆141Updated last year
• THUDM / AgentRL
  Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework
  ☆196Updated 2 weeks ago
• maple-research-lab / SLOT
  ☆111Updated 7 months ago
• princeton-pli / RLMT
  [R]einforcement [L]earning from [M]odel-rewarded [T]hinking - code for the paper "Language Models That Think, Chat Better"
  ☆124Updated 3 months ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆200Updated last month
• princeton-nlp / CEPE
  [ACL 2024] Long-Context Language Modeling with Parallel Encodings
  ☆168Updated last year
• LCLM-Horizon / A-Comprehensive-Survey-For-Long-Context-Language-Modeling
  A Comprehensive Survey on Long Context Language Modeling
  ☆222Updated 2 months ago
• testtimescaling / testtimescaling.github.io
  "what, how, where, and how well? a survey on test-time scaling in large language models" repository
  ☆83Updated this week
• RyanLiu112 / GenPRM
  [AAAI 2026] Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".
  ☆95Updated 2 months ago
• mtbench101 / mt-bench-101
  [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
  ☆140Updated last year
• OpenBMB / RLPR
  Extrapolating RLVR to General Domains without Verifiers
  ☆191Updated 5 months ago
• yuleiqin / fantastic-data-engineering
  Fantastic Data Engineering for Large Language Models
  ☆93Updated last year
• THU-KEG / AdaptThink
  ☆177Updated last month
• tianyi-lab / Superfiltering
  [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
  ☆186Updated 7 months ago
• ADaM-BJTU / OpenRFT
  OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning
  ☆155Updated last year
• verl-project / verl-recipe
  A set of examples based on verl for end-to-end RL training recipes.
  ☆139Updated last week
• a-m-team / a-m-models
  a-m-team's exploration in large language modeling
  ☆195Updated 8 months ago
• SkyworkAI / Skywork-Reward-V2
  Scaling Preference Data Curation via Human-AI Synergy
  ☆137Updated 6 months ago
• zwhong714 / PSFT
  [ICLR 2026] PSFT is a trust-region–inspired fine-tuning objective that views SFT as a policy gradient method with constant advantages, co…
  ☆34Updated 4 months ago
• wjn1996 / Awesome-LLM-Reasoning-Openai-o1-Survey
  The related works and background techniques about Openai o1
  ☆221Updated last year
• bobxwu / learning-from-rewards-llm-papers
  A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward model…
  ☆60Updated 7 months ago
• GAIR-NLP / ToRL
  ☆332Updated 8 months ago
• qiancheng0 / ToolRL
  ☆427Updated 3 months ago
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆65Updated last year
• yubol-bobo / Awesome-Multi-Turn-LLMs
  This is the official GitHub repository for our survey paper "Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language …
  ☆169Updated 8 months ago