LambdaRankIC derives closed-form lambda gradients for pairwise rank swaps to directly optimize Rank IC within the LambdaRank framework, outperforming regression and NDCG losses on simulated and real financial data.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
AgenticRAG equips an LLM with iterative retrieval and navigation tools, delivering 49.6% recall@1 on BRIGHT, 0.96 factuality on WixQA, and 92% correctness on FinanceBench.
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LambdaRankIC: Directly Optimizing Rank IC for Financial Prediction
LambdaRankIC derives closed-form lambda gradients for pairwise rank swaps to directly optimize Rank IC within the LambdaRank framework, outperforming regression and NDCG losses on simulated and real financial data.
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AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases
AgenticRAG equips an LLM with iterative retrieval and navigation tools, delivering 49.6% recall@1 on BRIGHT, 0.96 factuality on WixQA, and 92% correctness on FinanceBench.