Publication Category: Vision-Language Models

TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies

  • On February 14, 2025
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Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset

  • On February 14, 2025
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Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement

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Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization

  • On October 17, 2024
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Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

  • On October 17, 2024
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AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models

  • On October 17, 2024
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Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences

  • On May 16, 2024
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HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination & Visual Illusion in Large Vision-Language Models

  • On March 23, 2024
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More Context, Less Distraction: Zero-shot Visual Classification by Inferring and Conditioning on Contextual Attributes

  • On January 23, 2024
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    NeurIPS ’22 Main Conference Papers from Huang Lab @UMD
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    NeurIPS ’22 Main Conference Papers from Huang Lab @UMD

    Posted on by Furong

    NeurIPS 2022 will be in-person at New Orleans. We are excited to share 6 papers that are accepted to…