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VLMs Break When You Change the Rules
9 selected from 79 papers
Featured
Beyond Perception Errors: Semantic Fixation in Large Vision-Language Models
score 6
入选 HF Daily Papers; 有代码实现; 关键词(2): post-training, vision-language
Also Worth Noting
LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety
score 4
入选 HF Daily Papers; HF 热度: 2 upvotes (+1)
GoodPoint: Learning Constructive Scientific Paper Feedback from Author Responses
score 4
机构: NVIDIA; 关键词(1): fine-tuning
Benchmarking Deflection and Hallucination in Large Vision-Language Models
score 4
关键词(2): vision-language, data curation; 顶会接收: ACL
Long-Horizon Plan Execution in Large Tool Spaces through Entropy-Guided Branching
score 4
机构: Amazon; 关键词(1): reasoning
ViLL-E: Video LLM Embeddings for Retrieval
score 4
关键词(2): fine-tuning, pre-training; 顶会接收: ACL
Exploring Concept Subspace for Self-explainable Text-Attributed Graph Learning
score 3
机构: University of Toronto
Loss-Driven Bayesian Active Learning
score 3
机构: Oxford
LoSA: Locality Aware Sparse Attention for Block-Wise Diffusion Language Models
score 3
机构: Berkeley