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Siddhartha Jain

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#artificial intelligence Preprint Sep 2026

Semantic Candidate-Job Matching: A Comparative Evaluation of Dense Embedding Models in Hybrid Retrieval

The paper addresses the gap between general-purpose embedding benchmarks and enterprise job-candidate matching constraints, providing a structured basis for comparing embedding strategies under realistic job-candidate retrieval conditions.

Sai Yashwant, Siddhartha Jain, Anurag Dubey et al. · 0 citations
Preprint Jul 2026

Understanding Axes of Difficulty For Long Context Tasks Via PredicateLongBench

PredicateLongBench is proposed, a benchmark that stress-tests long-context reasoning by asking models to identify the longest contiguous subsequence of words in a long input that satisfies given predicates/constraints drawn from a broader predicate class.

Siddhartha Jain, A. Velingker · 0 citations

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