Alternatives and similar repositories for Direct-Preference-Optimization

Users that are interested in Direct-Preference-Optimization are comparing it to the libraries listed below

• alon-albalak / data-selection-survey
  A Survey on Data Selection for Language Models
  ☆250Updated 5 months ago
• ZubinGou / math-evaluation-harness
  A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨
  ☆259Updated last year
• GAIR-NLP / LIMR
  ☆211Updated 8 months ago
• xiaoya-li / Instruction-Tuning-Survey
  Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`
  ☆190Updated 2 months ago
• Cohere-Labs-Community / parameter-efficient-moe
  ☆271Updated last year
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆522Updated 9 months ago
• Vance0124 / Token-level-Direct-Preference-Optimization
  Reference implementation for Token-level Direct Preference Optimization(TDPO)
  ☆148Updated 8 months ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆121Updated last year
• eddycmu / demystify-long-cot
  ☆323Updated 4 months ago
• SuperBruceJia / Awesome-LLM-Self-Consistency
  Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models
  ☆109Updated 3 months ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆192Updated last year
• ezelikman / STaR
  Code for STaR: Bootstrapping Reasoning With Reasoning (NeurIPS 2022)
  ☆214Updated 2 years ago
• allenai / FineGrainedRLHF
  ☆280Updated 9 months ago
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆70Updated last year
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆496Updated last year
• llm-merging / LLM-Merging
  LLM-Merging: Building LLMs Efficiently through Merging
  ☆204Updated last year
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆181Updated 6 months ago
• microsoft / rho
  Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.
  ☆439Updated last year
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆643Updated 4 months ago
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆82Updated 9 months ago
• OFA-Sys / gsm8k-ScRel
  Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
  ☆266Updated last year
• kanishkg / cognitive-behaviors
  ☆210Updated 7 months ago
• 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 …
  ☆125Updated 5 months ago
• OpenMOSS / Language-Model-SAEs
  For OpenMOSS Mechanistic Interpretability Team's Sparse Autoencoder (SAE) research.
  ☆157Updated this week
• yihedeng9 / rlhf-summary-notes
  A brief and partial summary of RLHF algorithms.
  ☆132Updated 7 months ago
• louieworth / awesome-rlhf
  An index of algorithms for reinforcement learning from human feedback (rlhf))
  ☆92Updated last year
• getao / icae
  The repo for In-context Autoencoder
  ☆148Updated last year
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆165Updated last year
• QwenLM / ProcessBench
  Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"
  ☆174Updated 5 months ago
• AGI-Edgerunners / LLM-Continual-Learning-Papers
  Must-read Papers on Large Language Model (LLM) Continual Learning
  ☆146Updated last year