Hindi-BEIR : A Large Scale Retrieval Benchmark in Hindi
Fuente:
arXiv
Saved in:
| Main Authors: | Acharya, Arkadeep, Murthy, Rudra, Kumar, Vishwajeet, Sen, Jaydeep |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Benchmarking and Building Zero-Shot Hindi Retrieval Model with Hindi-BEIR and NLLB-E5
by: Acharya, Arkadeep, et al.
Published: (2024)
by: Acharya, Arkadeep, et al.
Published: (2024)
Mistral-SPLADE: LLMs for better Learned Sparse Retrieval
by: Doshi, Meet, et al.
Published: (2024)
by: Doshi, Meet, et al.
Published: (2024)
Influence Guided Sampling for Domain Adaptation of Text Retrievers
by: Doshi, Meet, et al.
Published: (2026)
by: Doshi, Meet, et al.
Published: (2026)
Wikipedia-based Datasets in Russian Information Retrieval Benchmark RusBEIR
by: Kovalev, Grigory, et al.
Published: (2025)
by: Kovalev, Grigory, et al.
Published: (2025)
BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language
by: Wojtasik, Konrad, et al.
Published: (2023)
by: Wojtasik, Konrad, et al.
Published: (2023)
On the effective transfer of knowledge from English to Hindi Wikipedia
by: Das, Paramita, et al.
Published: (2024)
by: Das, Paramita, et al.
Published: (2024)
LMK > CLS: Landmark Pooling for Dense Embeddings
by: Doshi, Meet, et al.
Published: (2026)
by: Doshi, Meet, et al.
Published: (2026)
Granite Embedding R2 Models
by: Awasthy, Parul, et al.
Published: (2025)
by: Awasthy, Parul, et al.
Published: (2025)
Granite Embedding Models
by: Awasthy, Parul, et al.
Published: (2025)
by: Awasthy, Parul, et al.
Published: (2025)
MILU: A Multi-task Indic Language Understanding Benchmark
by: Verma, Sshubam, et al.
Published: (2024)
by: Verma, Sshubam, et al.
Published: (2024)
PLAID SHIRTTT for Large-Scale Streaming Dense Retrieval
by: Lawrie, Dawn, et al.
Published: (2024)
by: Lawrie, Dawn, et al.
Published: (2024)
M3Retrieve: Benchmarking Multimodal Retrieval for Medicine
by: Acharya, Arkadeep, et al.
Published: (2025)
by: Acharya, Arkadeep, et al.
Published: (2025)
BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study
by: Mutsaddi, Atharva, et al.
Published: (2025)
by: Mutsaddi, Atharva, et al.
Published: (2025)
MRSE: An Efficient Multi-modality Retrieval System for Large Scale E-commerce
by: Jiang, Hao, et al.
Published: (2024)
by: Jiang, Hao, et al.
Published: (2024)
RAR-b: Reasoning as Retrieval Benchmark
by: Xiao, Chenghao, et al.
Published: (2024)
by: Xiao, Chenghao, et al.
Published: (2024)
BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
by: Rau, David, et al.
Published: (2024)
by: Rau, David, et al.
Published: (2024)
DAPR: A Benchmark on Document-Aware Passage Retrieval
by: Wang, Kexin, et al.
Published: (2023)
by: Wang, Kexin, et al.
Published: (2023)
Scaling Laws For Dense Retrieval
by: Fang, Yan, et al.
Published: (2024)
by: Fang, Yan, et al.
Published: (2024)
Adaptive Retrieval-Augmented Generation for Conversational Systems
by: Wang, Xi, et al.
Published: (2024)
by: Wang, Xi, et al.
Published: (2024)
FollowTable: A Benchmark for Instruction-Following Table Retrieval
by: Jin, Rihui, et al.
Published: (2026)
by: Jin, Rihui, et al.
Published: (2026)
PJB: A Reasoning-Aware Benchmark for Person-Job Retrieval
by: Wang, Guangzhi, et al.
Published: (2026)
by: Wang, Guangzhi, et al.
Published: (2026)
Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR
by: Thakur, Nandan, et al.
Published: (2024)
by: Thakur, Nandan, et al.
Published: (2024)
Conversational Text Extraction with Large Language Models Using Retrieval-Augmented Systems
by: Roy, Soham, et al.
Published: (2025)
by: Roy, Soham, et al.
Published: (2025)
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models
by: Li, Xiangyang, et al.
Published: (2024)
by: Li, Xiangyang, et al.
Published: (2024)
JUÁ -- A Benchmark for Information Retrieval in Brazilian Legal Text Collections
by: Pereira, Jayr, et al.
Published: (2026)
by: Pereira, Jayr, et al.
Published: (2026)
AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark
by: Chen, Jianlyu, et al.
Published: (2024)
by: Chen, Jianlyu, et al.
Published: (2024)
Building Russian Benchmark for Evaluation of Information Retrieval Models
by: Kovalev, Grigory, et al.
Published: (2025)
by: Kovalev, Grigory, et al.
Published: (2025)
SAGE: Benchmarking and Improving Retrieval for Deep Research Agents
by: Hu, Tiansheng, et al.
Published: (2026)
by: Hu, Tiansheng, et al.
Published: (2026)
Domain Specific Question to SQL Conversion with Embedded Data Balancing Technique
by: Jyothi, et al.
Published: (2025)
by: Jyothi, et al.
Published: (2025)
Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
by: Shi, Zhengliang, et al.
Published: (2025)
by: Shi, Zhengliang, et al.
Published: (2025)
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
by: Dai, Sunhao, et al.
Published: (2024)
by: Dai, Sunhao, et al.
Published: (2024)
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation
by: Cheng, Yiruo, et al.
Published: (2024)
by: Cheng, Yiruo, et al.
Published: (2024)
Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks
by: Lyu, Xinxi, et al.
Published: (2025)
by: Lyu, Xinxi, et al.
Published: (2025)
PosIR: Position-Aware Heterogeneous Information Retrieval Benchmark
by: Zeng, Ziyang, et al.
Published: (2026)
by: Zeng, Ziyang, et al.
Published: (2026)
Large Language Models for Information Retrieval: A Survey
by: Zhu, Yutao, et al.
Published: (2023)
by: Zhu, Yutao, et al.
Published: (2023)
Exploring Training and Inference Scaling Laws in Generative Retrieval
by: Cai, Hongru, et al.
Published: (2025)
by: Cai, Hongru, et al.
Published: (2025)
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
by: Wang, Shuting, et al.
Published: (2024)
by: Wang, Shuting, et al.
Published: (2024)
IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval
by: Song, Tingyu, et al.
Published: (2025)
by: Song, Tingyu, et al.
Published: (2025)
URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models
by: Nguyen, Vinh, et al.
Published: (2026)
by: Nguyen, Vinh, et al.
Published: (2026)
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
by: Mao, Kelong, et al.
Published: (2024)
by: Mao, Kelong, et al.
Published: (2024)
Similar Items
-
Benchmarking and Building Zero-Shot Hindi Retrieval Model with Hindi-BEIR and NLLB-E5
by: Acharya, Arkadeep, et al.
Published: (2024) -
Mistral-SPLADE: LLMs for better Learned Sparse Retrieval
by: Doshi, Meet, et al.
Published: (2024) -
Influence Guided Sampling for Domain Adaptation of Text Retrievers
by: Doshi, Meet, et al.
Published: (2026) -
Wikipedia-based Datasets in Russian Information Retrieval Benchmark RusBEIR
by: Kovalev, Grigory, et al.
Published: (2025) -
BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language
by: Wojtasik, Konrad, et al.
Published: (2023)