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Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems

23 May 2025
Hansa Meghwani
Amit Agarwal
Priyaranjan Pattnayak
Hitesh Laxmichand Patel
Srikant Panda
ArXiv (abs)PDFHTML

Papers citing "Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems"

4 / 4 papers shown
Title
SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use
SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use
Hitesh Laxmichand Patel
Amit Agarwal
Arion Das
Bhargava Kumar
Srikant Panda
Priyaranjan Pattnayak
Taki Hasan Rafi
Tejaswini Kumar
Dong-Kyu Chae
37
3
0
22 May 2025
Tokenization Matters: Improving Zero-Shot NER for Indic Languages
Tokenization Matters: Improving Zero-Shot NER for Indic Languages
Priyaranjan Pattnayak
Hitesh Laxmichand Patel
Amit Agarwal
84
4
0
23 Apr 2025
NV-Retriever: Improving text embedding models with effective hard-negative mining
NV-Retriever: Improving text embedding models with effective hard-negative mining
Gabriel de Souza P. Moreira
Radek Osmulski
Mengyao Xu
Ronay Ak
Benedikt Schifferer
Even Oldridge
RALM
138
47
0
22 Jul 2024
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Chankyu Lee
Rajarshi Roy
Mengyao Xu
Jonathan Raiman
Mohammad Shoeybi
Bryan Catanzaro
Ming-Yu Liu
RALM
302
205
0
27 May 2024
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