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".
  ☆57Updated last year
• clemneo / llava-interp
  ☆64Updated 9 months ago
• YiyangZhou / POVID
  [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
  ☆87Updated last year
• k1rezaei / Text-to-concept
  ☆34Updated last year
• hamidkazemi22 / CLIPInversion
  What do we learn from inverting CLIP models?
  ☆55Updated last year
• AtsuMiyai / UPD
  [ACL2025] Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models
  ☆77Updated 2 months ago
• sail-sg / D-TRAK
  Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)
  ☆31Updated last year
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆79Updated last year
• nickjiang2378 / vl-interp
  Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)
  ☆79Updated 2 months ago
• ExplainableML / sae-for-vlm
  Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
  ☆28Updated 4 months ago
• RAIVNLab / sugar-crepe
  [NeurIPS 2023] A faithful benchmark for vision-language compositionality
  ☆82Updated last year
• UW-Madison-Lee-Lab / CoBSAT
  Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"
  ☆41Updated 2 months ago
• alhojel / visual_task_vectors
  ☆39Updated last year
• jmerullo / limber
  https://arxiv.org/abs/2209.15162
  ☆52Updated 2 years ago
• ExplainableML / WaffleCLIP
  Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…
  ☆57Updated 2 years ago
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆69Updated 4 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
• Understanding-Visual-Datasets / VisDiff
  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)
  ☆120Updated 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
• kaistAI / Volcano
  [NAACL 2024] Vision language model that reduces hallucinations through self-feedback guided revision. Visualizes attentions on image feat…
  ☆46Updated last year
• boyazeng / understand_bias
  Code release for "Understanding Bias in Large-Scale Visual Datasets"
  ☆21Updated 8 months ago
• kdariina / CLIP-not-BoW-unimodally
  Code for "CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally"
  ☆15Updated 6 months ago
• locuslab / diffusion-model-hallucination
  ☆45Updated 11 months ago
• chingyaoc / debias_vl
  Code for Debiasing Vision-Language Models via Biased Prompts
  ☆56Updated 2 years ago
• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆34Updated 2 years ago
• tsb0601 / MultiMon
  ☆25Updated 2 years ago
• tmlabonte / last-layer-retraining
  Official codebase for the NeurIPS 2023 paper: Towards Last-layer Retraining for Group Robustness with Fewer Annotations. https://arxiv.or…
  ☆11Updated last year
• sled-group / moh
  [NeurIPS 2024] Official Repository of Multi-Object Hallucination in Vision-Language Models
  ☆29Updated 9 months ago
• yihedeng9 / STIC
  Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
  ☆70Updated last year