zjunlp / ModelKinshipLinks
Exploring Model Kinship for Merging Large Language Models
☆24Updated 3 months ago
Alternatives and similar repositories for ModelKinship
Users that are interested in ModelKinship are comparing it to the libraries listed below
Sorting:
- Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)☆61Updated last year
- Co-LLM: Learning to Decode Collaboratively with Multiple Language Models☆116Updated last year
- ☆82Updated 6 months ago
- This is the official repository for Inheritune.☆112Updated 5 months ago
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks☆145Updated 10 months ago
- Code for EMNLP 2024 paper "Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning"☆55Updated 9 months ago
- Code for the EMNLP 2024 paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"☆128Updated 11 months ago
- General Reasoner: Advancing LLM Reasoning Across All Domains☆149Updated last month
- Code Implementation, Evaluations, Documentation, Links and Resources for Min P paper☆39Updated 4 months ago
- Unofficial Implementation of Evolutionary Model Merging☆39Updated last year
- Repo for "Z1: Efficient Test-time Scaling with Code"☆63Updated 3 months ago
- [ICML 2025] Predictive Data Selection: The Data That Predicts Is the Data That Teaches☆51Updated 4 months ago
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆74Updated 3 months ago
- ☆117Updated 4 months ago
- [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective☆70Updated 3 weeks ago
- [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples☆101Updated last month
- Official repository for Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning [ICLR 2025]☆46Updated 5 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆60Updated 10 months ago
- [NeurIPS 2024] Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study☆52Updated 7 months ago
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]☆105Updated 4 months ago
- Process Reward Models That Think☆46Updated 2 weeks ago
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆59Updated last week
- ☆66Updated last year
- ☆124Updated 9 months ago
- [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers☆68Updated 3 weeks ago
- [ACL 2025] An inference-time decoding strategy with adaptive foresight sampling☆99Updated 2 months ago
- [ACL 2025] Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems☆96Updated last month
- [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"☆38Updated last year
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆90Updated 8 months ago
- From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu,…☆47Updated 2 months ago