Alternatives and similar repositories for P2T

Users that are interested in P2T are comparing it to the libraries listed below

• Jiacheng-Zhu-AIML / AsymmetryLoRA
  Preprint: Asymmetry in Low-Rank Adapters of Foundation Models
  ☆35Updated last year
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆94Updated last year
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆105Updated 2 years ago
• YangRui2015 / RiC
  Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"
  ☆78Updated 5 months ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆46Updated last year
• cognizant-ai-labs / semantic-density-paper
  This repo contains the source code for reproducing the experimental results in semantic density paper (Neurips 2024)
  ☆16Updated last month
• Joshua-Ren / Learning_dynamics_LLM
  ☆179Updated 5 months ago
• BeyonderXX / TRACE
  TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
  ☆79Updated last year
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆51Updated last year
• siyan-zhao / ICL_decision_boundary
  official code for paper Probing the Decision Boundaries of In-context Learning in Large Language Models. https://arxiv.org/abs/2406.11233…
  ☆19Updated 3 months ago
• UKPLab / iclr2024-model-merging
  This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.
  ☆29Updated last year
• Yiwei98 / ESC
  ☆13Updated 3 months ago
• tmlr-group / G-effect
  [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
  ☆13Updated 8 months ago
• tmllab / 2023_ICLR_Moderate-DS
  ☆29Updated 2 years ago
• jihoontack / MAC
  Online Adaptation of Language Models with a Memory of Amortized Contexts (NeurIPS 2024)
  ☆69Updated last year
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆87Updated last month
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆37Updated 3 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆71Updated 8 months ago
• jylee425 / mobilesafetybench
  Evaluating Safety of Autonomous Agents in Mobile Device Control
  ☆29Updated 9 months ago
• glorgao / SelectiveDPO
  Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
  ☆44Updated 3 months ago
• ZHZisZZ / modpo
  [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
  ☆91Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆83Updated 8 months ago
• MiaoXiong2320 / llm-uncertainty
  code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
  ☆135Updated last year
• SnoopX-AI / Awesome-Weak-to-Strong-Generalization
  ☆10Updated last year
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆51Updated last year
• tmlr-group / AR-Bench
  [ICML 2025] "From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?"
  ☆46Updated last month
• YangRui2015 / Generalizable-Reward-Model
  Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"
  ☆41Updated 8 months ago
• ASTRAL-Group / data-efficient-llm-rl
  ☆26Updated last month
• tanganke / weight-ensembling_MoE
  Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"
  ☆29Updated last year
• damanimehul / RLCR
  Official repository for Beyond Binary Rewards: Training LMs to Reason about Their Uncertainty
  ☆41Updated 2 months ago