Trustworthy-ML-Lab / CB-LLMsLinks
[ICLR 25] A novel framework for building intrinsically interpretable LLMs with human-understandable concepts to ensure safety, reliability, transparency, and trustworthiness.
☆29Updated 5 months ago
Alternatives and similar repositories for CB-LLMs
Users that are interested in CB-LLMs are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆76Updated 11 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆100Updated last year
- LCA-on-the-line (ICML 2024 Oral)☆13Updated 11 months ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆51Updated last month
- [ICLR '25] Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations"☆96Updated 2 months ago
- ☆70Updated 6 months ago
- ☆79Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆108Updated 2 years ago
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering☆102Updated last year
- Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"☆30Updated last year
- [NeurIPS 2025] Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models☆60Updated 2 months ago
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆38Updated 6 months ago
- A curated collection of resources focused on the Mechanistic Interpretability (MI) of Large Multimodal Models (LMMs). This repository agg…☆180Updated 3 months ago
- ☆43Updated 2 years ago
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆24Updated last year
- ☆64Updated last year
- [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…☆46Updated last year
- ☆13Updated 9 months ago
- Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)☆88Updated 4 months ago
- [NeurIPS25] RULE: Reinforcement UnLEarning Achieves Forge-retain Pareto Optimality☆19Updated 3 months ago
- [ICML 2025] No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces (official repository)☆33Updated 5 months ago
- ☆63Updated 6 months ago
- XL-VLMs: General Repository for eXplainable Large Vision Language Models☆45Updated 4 months ago
- A curated list of resources for activation engineering☆121Updated 3 months ago
- This repo contains the source code for reproducing the experimental results in semantic density paper (Neurips 2024)☆18Updated 4 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆62Updated last year
- official code for paper Probing the Decision Boundaries of In-context Learning in Large Language Models. https://arxiv.org/abs/2406.11233…☆19Updated 6 months ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆132Updated 4 months ago
- Less is More: High-value Data Selection for Visual Instruction Tuning☆17Updated last year
- A curated list of Model Merging methods.☆96Updated last month