Alternatives and similar repositories for OOD-Math-Reasoning

Users that are interested in OOD-Math-Reasoning are comparing it to the libraries listed below

• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆63Updated last year
• ECNU-ICALK / MELO
  [AAAI 2024] MELO: Enhancing Model Editing with Neuron-indexed Dynamic LoRA
  ☆26Updated last year
• SteveKGYang / MetaAligner
  Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
  ☆24Updated last year
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• tianyi-lab / Mosaic-IT
  [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
  ☆20Updated 2 months ago
• yizhongw / llm-temporal-alignment
  Methods and evaluation for aligning language models temporally
  ☆30Updated last year
• junkangwu / beta-DPO
  [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
  ☆49Updated last year
• zjunlp / PitfallsKnowledgeEditing
  [ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models
  ☆22Updated last year
• adymaharana / d2pruning
  ☆43Updated 2 years ago
• ZeroYuHuang / Transformer-Patcher
  ☆32Updated 2 years ago
• Ahren09 / AgentReview
  Official Implementation for EMNLP 2024 (main) "AgentReview: Exploring Academic Peer Review with LLM Agent."
  ☆94Updated last year
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆76Updated last year
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆64Updated last year
• QizhiPei / MathFusion
  MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion (ACL 2025)
  ☆35Updated 4 months ago
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated 2 years ago
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆59Updated last year
• 2003pro / TAGCOS
  This is the official implementation of TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data
  ☆11Updated last year
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆63Updated last year
• Zayne-sprague / To-CoT-or-not-to-CoT
  ☆25Updated 8 months ago
• FreedomIntelligence / PlatoLM
  A trainable user simulator
  ☆34Updated 5 months ago
• YJiangcm / LTE
  [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing
  ☆36Updated last year
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆34Updated last year
• keven980716 / weak-to-strong-deception
  [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"
  ☆13Updated last year
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆33Updated last year
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆40Updated 2 years ago
• open-compass / ANAH
  [ACL 2024] ANAH & [NeurIPS 2024] ANAH-v2 & [ICLR 2025] Mask-DPO
  ☆59Updated 7 months ago
• TianduoWang / DPO-ST
  [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
  ☆52Updated last year
• sail-sg / sdft
  [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
  ☆137Updated last year
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆134Updated 8 months ago
• Reason-Wang / NAT
  [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…
  ☆29Updated last year