Alternatives and similar repositories for alpha-DPO

Users that are interested in alpha-DPO are comparing it to the libraries listed below

• uservan / ThinkPO
  ☆19Updated 4 months ago
• junkangwu / beta-DPO
  [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
  ☆45Updated 8 months ago
• xuyige / SoftCoT
  ACL'2025: SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs. and preprint: SoftCoT++: Test-Time Scaling with Soft Chain-of…
  ☆28Updated 3 weeks ago
• Raibows / CREAM
  Code for "CREAM: Consistency Regularized Self-Rewarding Language Models", ICLR 2025.
  ☆22Updated 4 months ago
• JayZhang42 / SLED
  SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433
  ☆26Updated 6 months ago
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆74Updated last week
• TianduoWang / DPO-ST
  [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
  ☆45Updated 10 months ago
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆52Updated 2 years ago
• tianyi-lab / Mosaic-IT
  [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
  ☆19Updated this week
• RLHFlow / RAFT
  This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…
  ☆32Updated 9 months ago
• liziniu / GEM
  Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)
  ☆30Updated last month
• yyDing1 / ScaleQuest
  [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆63Updated 8 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• sail-sg / ActivePRM
  ☆15Updated 2 months ago
• mathllm / Step-Controlled_DPO
  ☆22Updated 11 months ago
• Alsace08 / OOD-Math-Reasoning
  [NeurIPS 2024] Code and Data Repo for Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"
  ☆26Updated last year
• rookie-joe / AutoPSV
  ☆46Updated 7 months ago
• PorUna-byte / PAR
  ☆15Updated 4 months ago
• gl-ybnbxb / BoNBoN
  ☆18Updated last year
• YJiangcm / LTE
  [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing
  ☆36Updated 10 months ago
• general-preference / general-preference-model
  Official implementation of ICML 2025 paper "Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment" (https:…
  ☆25Updated last month
• RUCKBReasoning / CoT-based-Synthesizer
  Official code implementation for the ACL 2025 paper: 'CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis'
  ☆27Updated last month
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆59Updated last year
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆57Updated 9 months ago
• Zayne-sprague / To-CoT-or-not-to-CoT
  ☆24Updated 2 months ago
• iQua / llmpebase
  This is a unified platform for implementing and evaluating test-time reasoning mechanisms in Large Language Models (LLMs).
  ☆19Updated 5 months ago
• EIT-NLP / Distilling-CoT-Reasoning
  [ACL 2025 Findings] Official implementation of the paper "Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning". (By Xingh…
  ☆15Updated 4 months ago
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆32Updated last year
• VITA-Group / SEAL
  Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free
  ☆28Updated 2 months ago
• ADaM-BJTU / W2SG
  The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”
  ☆16Updated last year