News Retrieval
4 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in News Retrieval
| Trend | Dataset | Best Model | Paper | Code | Compare |
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BEIR
Most implemented papers
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
UKPLab/beir
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To address this, and to facilitate researchers to broadly evaluate the effectiveness of their models, we introduce Benchmarking-IR (BEIR), a robust and heterogeneous evaluation benchmark for information retrieval.
SGPT: GPT Sentence Embeddings for Semantic Search
muennighoff/sgpt
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To this end, we propose SGPT to use decoders for sentence embeddings and semantic search via prompting or fine-tuning.
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval
This has made distilled and dense models, due to latency constraints, the go-to choice for deployment in real-world retrieval applications.
MM-Locate-News: Multimodal Focus Location Estimation in News
tibhannover/mm-locate-news
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In this paper, a novel dataset called Multimodal Focus Location of News (MM-Locate-News) is introduced.
