Alternatives and similar repositories for awesome-direct-preference-optimization

Users that are interested in awesome-direct-preference-optimization are comparing it to the libraries listed below

• tanganke / fusion_bench
  FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion
  ☆140Updated 2 weeks ago
• Chaos96 / fourierft
  ☆145Updated 8 months ago
• Persdre / NeurIPS-2024-LLM-Papers
  Accepted LLM Papers in NeurIPS 2024
  ☆37Updated 7 months ago
• JLZhong23 / awesome-reward-models
  ☆52Updated last week
• tmlr-group / landscape-of-thoughts
  [ICLR 2025 Workshop] "Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models"
  ☆19Updated last week
• WEIYanbin1999 / GITA
  [NeurIPS 2024] GITA: Graph to Image-Text Integration for Vision-Language Graph Reasoning
  ☆49Updated 6 months ago
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆63Updated last week
• QingyangZhang / Label-Free-RLVR
  ☆169Updated this week
• ZHZisZZ / modpo
  [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
  ☆79Updated 9 months ago
• beccabai / Data-centric_multimodal_LLM
  Survey on Data-centric Large Language Models
  ☆83Updated 10 months ago
• sastpg / RFTT
  RFTT: Reasoning with Reinforced Functional Token Tuning
  ☆27Updated 2 months ago
• yueliu1999 / Awesome-Efficient-Inference-for-LRMs
  Awesome-Efficient-Inference-for-LRMs is a collection of state-of-the-art, novel, exciting, token-efficient methods for Large Reasoning Mo…
  ☆65Updated this week
• Joshua-Ren / Learning_dynamics_LLM
  ☆131Updated 3 weeks ago
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆162Updated 9 months ago
• junkangwu / beta-DPO
  [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
  ☆45Updated 7 months ago
• MingyuJ666 / Rope_with_LLM
  [ICML'25] Our study systematically investigates massive values in LLMs' attention mechanisms. First, we observe massive values are concen…
  ☆69Updated last week
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆123Updated 2 months ago
• yanweiyue / AgentPrune
  ☆62Updated 2 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆105Updated 2 months ago
• StarDewXXX / Awesome-Hybrid-CoT-Reasoning
  ☆33Updated last week
• Vance0124 / Token-level-Direct-Preference-Optimization
  Reference implementation for Token-level Direct Preference Optimization(TDPO)
  ☆140Updated 3 months ago
• Alsace08 / Chain-of-Embedding
  [ICLR 2025] Code and Data Repo for Paper "Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation"
  ☆56Updated 5 months ago
• horseee / CoT-Valve
  CoT-Valve: Length-Compressible Chain-of-Thought Tuning
  ☆69Updated 3 months ago
• Tim-Siu / reft-exp
  A research repo for experiments about Reinforcement Finetuning
  ☆47Updated 2 months ago
• EIT-NLP / Awesome-Latent-CoT
  This repository contains a regularly updated paper list for LLMs-reasoning-in-latent-space.
  ☆107Updated this week
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆203Updated 6 months ago
• glorgao / SelectiveDPO
  Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
  ☆36Updated last month
• dongxiangjue / Awesome-LLM-Self-Improvement
  A curated list of awesome LLM Inference-Time Self-Improvement (ITSI, pronounced "itsy") papers from our recent survey: A Survey on Large …
  ☆78Updated 5 months ago
• jianghoucheng / AlphaEdit
  AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models, ICLR 2025 (Outstanding Paper)
  ☆250Updated last month
• yanweiyue / GDesigner
  ☆36Updated 6 months ago