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Yet even as we celebrate these advances, we recognize that LLMs are not the final destination. Critical challenges persist in efficiency, transparency, cross-lingual adaptability, and domain-specific applications. Diverse research remains essential: from neuro-symbolic integration and low-resource IR to ethical frameworks, interpretable architectures, and human-centered design. The future of NLP/IR lies not only in scaling models but in innovating beyond them bridging foundational theory with real-world impact.
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