Adaptive gates in CLIP-style few-shot prompt learning often collapse due to gradient magnitude imbalance and gate degradation, failing to beat fixed prompts.
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NyayaAI is a multi-agent LLM system with RAG on Indian legal documents that reports 70% domain classification precision, 74% retrieval precision, and 72% overall response accuracy.
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When Adaptation Fails: A Gradient-Based Diagnosis of Collapsed Gating in Vision-Language Prompt Learning
Adaptive gates in CLIP-style few-shot prompt learning often collapse due to gradient magnitude imbalance and gate degradation, failing to beat fixed prompts.
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NyayaAI: An AI-Powered Legal Assistant Using Multi-Agent Architecture and Retrieval-Augmented Generation
NyayaAI is a multi-agent LLM system with RAG on Indian legal documents that reports 70% domain classification precision, 74% retrieval precision, and 72% overall response accuracy.