Alternatives and similar repositories for second_order_lens

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

• amitakamath / whatsup_vlms
  Code and datasets for "What’s “up” with vision-language models? Investigating their struggle with spatial reasoning".
  ☆68Updated last year
• YiyangZhou / POVID
  [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
  ☆91Updated last year
• ExplainableML / WaffleCLIP
  Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…
  ☆61Updated 2 years ago
• clemneo / llava-interp
  ☆76Updated last year
• UW-Madison-Lee-Lab / CoBSAT
  Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"
  ☆42Updated 6 months ago
• k1rezaei / Text-to-concept
  ☆35Updated last year
• alhojel / visual_task_vectors
  ☆40Updated last year
• kdariina / CLIP-not-BoW-unimodally
  Code for "CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally"
  ☆18Updated 10 months ago
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆72Updated 8 months ago
• brendel-group / clip-ood
  Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)
  ☆10Updated last year
• nickjiang2378 / vlm-hallucinations
  [ICLR '25] Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations"
  ☆96Updated 3 weeks ago
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆84Updated 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
• jmerullo / limber
  https://arxiv.org/abs/2209.15162
  ☆53Updated 2 years ago
• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆34Updated 2 years ago
• ExplainableML / sae-for-vlm
  [NeurIPS 2025] Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
  ☆54Updated 3 weeks ago
• shiqichen17 / AdaptVis
  Github repository for "Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas" (ICML 2025)
  ☆65Updated 7 months ago
• RAIVNLab / sugar-crepe
  [NeurIPS 2023] A faithful benchmark for vision-language compositionality
  ☆87Updated last year
• AtsuMiyai / UPD
  [ACL2025] Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models
  ☆79Updated 6 months ago
• saibr / hypvl
  This repository is related to 'Intriguing Properties of Hyperbolic Embeddings in Vision-Language Models', published at TMLR (2024), https…
  ☆20Updated last year
• shubhamprshr27 / NeglectedTailsVLM
  This repository houses the code for the paper - "The Neglected of VLMs"
  ☆29Updated 7 months ago
• boyazeng / understand_bias
  Code release for "Understanding Bias in Large-Scale Visual Datasets"
  ☆22Updated last year
• jiaangli / VLCA
  Do Vision and Language Models Share Concepts? A Vector Space Alignment Study
  ☆16Updated last year
• hamidkazemi22 / CLIPInversion
  What do we learn from inverting CLIP models?
  ☆57Updated last year
• BatsResearch / ex2
  If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
  ☆17Updated last year
• McGill-NLP / diffusion-itm
  Code and data setup for the paper "Are Diffusion Models Vision-and-language Reasoners?"
  ☆33Updated last year
• Understanding-Visual-Datasets / VisDiff
  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)
  ☆129Updated last month
• chingyaoc / debias_vl
  Code for Debiasing Vision-Language Models via Biased Prompts
  ☆59Updated 2 years ago
• sled-group / moh
  [NeurIPS 2024] Official Repository of Multi-Object Hallucination in Vision-Language Models
  ☆33Updated last year
• Jielin-Qiu / MM_Robustness
  [DMLR 2024] Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift
  ☆39Updated last year