Alternatives and similar repositories for HEMM

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

• EvolvingLMMs-Lab / multimodal-sae
  [ICCV 2025] Auto Interpretation Pipeline and many other functionalities for Multimodal SAE Analysis.
  ☆171Updated 3 months ago
• yuhui-zh15 / AutoConverter
  Official implementation of "Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation" (CVPR 202…
  ☆40Updated 7 months ago
• YiyangZhou / POVID
  [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
  ☆91Updated last year
• declare-lab / LLM-PuzzleTest
  This repository is maintained to release dataset and models for multimodal puzzle reasoning.
  ☆113Updated 10 months ago
• yuhui-zh15 / C3
  Official implementation of "Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data" (ICLR 2024)
  ☆34Updated last year
• AtsuMiyai / UPD
  [ACL2025] Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models
  ☆79Updated 7 months ago
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆50Updated last year
• gzcch / Bingo
  ☆55Updated last year
• BatsResearch / ex2
  If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
  ☆17Updated last year
• ShujinWu-0814 / MACAROON
  Public code repo for EMNLP 2024 Findings paper "MACAROON: Training Vision-Language Models To Be Your Engaged Partners"
  ☆14Updated last year
• open-compass / ProSA
  [EMNLP 2024 Findings] ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs
  ☆29Updated 7 months ago
• YuxiXie / V-DPO
  Preference Learning for LLaVA
  ☆58Updated last year
• multimodal-interpretability / maia
  Official implementation of MAIA, A Multimodal Automated Interpretability Agent
  ☆100Updated 2 months ago
• zeyofu / BLINK_Benchmark
  This repo contains evaluation code for the paper "BLINK: Multimodal Large Language Models Can See but Not Perceive". https://arxiv.or…
  ☆153Updated 3 months ago
• mlfoundations / VisIT-Bench
  ☆50Updated 2 years ago
• yossigandelsman / second_order_lens
  Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"
  ☆42Updated last year
• visual-haystacks / vhs_benchmark
  🔥 [ICLR 2025] Official Benchmark Toolkits for "Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark"
  ☆37Updated last month
• ExplainableML / fomo_in_flux
  Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]
  ☆61Updated last year
• yihedeng9 / STIC
  Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
  ☆70Updated last year
• ylsung / vl-merging
  PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"
  ☆37Updated 2 years ago
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆83Updated 2 months ago
• k1rezaei / Text-to-concept
  ☆35Updated last year
• g-luo / vlm_cross_modal_reps
  Official PyTorch Implementation for Vision-Language Models Create Cross-Modal Task Representations, ICML 2025
  ☆31Updated 8 months ago
• Leezekun / MMSci
  MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension
  ☆50Updated last year
• shiqichen17 / AdaptVis
  Github repository for "Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas" (ICML 2025)
  ☆66Updated 8 months ago
• haoliuhl / language-quantized-autoencoders
  Language Quantized AutoEncoders
  ☆111Updated 2 years ago
• jmerullo / limber
  https://arxiv.org/abs/2209.15162
  ☆53Updated 2 years ago
• orrzohar / Video-STaR
  [ICLR 2025] Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision
  ☆72Updated last year
• sled-group / world-to-words
  Official Code for ACL 2023 Outstanding Paper: World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Languag…
  ☆33Updated 2 years ago
• shizhediao / DaVinci
  Source code for the paper "Prefix Language Models are Unified Modal Learners"
  ☆43Updated 2 years ago