News Retrieval
6 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in News Retrieval
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
BEIR
PolyNewsParallel
Most implemented papers
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
UKPLab/beir
•
•
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
•
•
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
•
•
In this paper, a novel dataset called Multimodal Focus Location of News (MM-Locate-News) is introduced.
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation
andreeaiana/nase
•
•
Rapidly growing numbers of multilingual news consumers pose an increasing challenge to news recommender systems in terms of providing customized recommendations.
Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization
In the fast-changing realm of information, the capacity to construct coherent timelines from extensive event-related content has become increasingly significant and challenging.
