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Customer Success · The Setup · Aug 3, 2026
Today's guide for customer success teams

ZeroR@CHiPSAL 2026: Two-Stage Vision-Language Adaptation for Nepali Meme Classification

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ZeroR@CHiPSAL 2026: Two-Stage Vision-Language Adaptation for Nepali Meme Classification

This paper presents a system for the CHiPSAL 2026 shared task on multimodal hate speech and sentiment detection in Nepali memes, addressing binary hate speech classification and three-class sentiment analysis using a two-stage training pipeline and a vision-language model with native Devanagari support. The system achieved second place in hate speech detection and fourth place in sentiment analysis.

Source: arXiv cs.CL
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Quick Hits
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    Source: arXiv cs.AI
  • ViSAGE: A Framework for Self-Correcting, Entity-Centric Memories in Long-Form Video Understanding

    ViSAGE is a multimodal agentic memory framework designed to build and update entity-centric memories over long temporal ranges, using cross-modal binding and bidirectional memory refinement to improve reasoning and reduce identity confusion. It also incorporates multi-agent cross-verification to assess evidence alignment and enable abstention when evidence is insufficient.

    Source: arXiv cs.AI
  • Comparison of GRU, LSTM, and Transformer Encoder Models for Classifying Automated Driving Systems

    This study evaluates the performance of GRU, LSTM, and Transformer encoder models in identifying Level 2 automated driving systems using vehicle telematics data, achieving macro F1-scores around 0.90 to 0.93 on clean data. The research also introduces a framework to assess model robustness under simulated telematics data degradation.

    Source: arXiv cs.LG
  • Deepgram enhances Amazon SageMaker AI support with AWS IAM Temporary Delegation

    Deepgram integrated AWS IAM temporary delegation with Amazon SageMaker AI to improve support for its speech models, significantly reducing the time required for initial investigation on support tickets.

    Source: AWS Machine Learning
  • OpenAI outlines practices supporting responsible AI governance in Europe

    OpenAI describes its safety, security, transparency, and provenance practices that contribute to responsible AI governance in Europe, with ongoing efforts aligned with the progress of the EU AI Act.

    Source: OpenAI Blog

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