20 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.IR2026
Semantic Candidate-Job Matching: A Comparative Evaluation of Dense Embedding Models in Hybrid Retrieval
Sai Yashwant, Siddhartha Jain, Anurag Dubey +2
This paper presents a comparative evaluation of dense embedding models for semantic candidate-job matching in high-volume staffing workflows. Incoming job descriptions are converte…
cs.AI2026
Understanding Axes of Difficulty For Long Context Tasks Via PredicateLongBench
Siddhartha Jain, Ameya Velingker
Large language models (LLMs) have demonstrated rapidly improving long-context capabilities, prompting a wave of benchmarks designed to evaluate them. However, existing long-context…
cs.CL2024★ 20 cited
LiveBench: A Challenging, Contamination-Limited LLM Benchmark
Colin White, Samuel Dooley, Manley Roberts +15
Test set contamination, wherein test data from a benchmark ends up in a newer model's training set, is a well-documented obstacle for fair LLM evaluation and can quickly render ben…