Bo Wang

Artificial Intelligence · with Xiao · 2023–2026

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Information Retrieval & Search — 25 citations into it

Whom Bo Wang trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Matei A. Zaharia (in Artificial Intelligence)
2. Omar Khattab (in Artificial Intelligence)

Papers from Bo Wang's perspective

Ordered by how strongly the researchers Bo Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Neural Information Processing Systems)
3. BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
4. RoFormer: Enhanced Transformer with Rotary Position Embedding
5. Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
6. Nomic Embed: Training a Reproducible Long Context Text Embedder (Trans. Mach. Learn. Res.)
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. ImageNet classification with deep convolutional neural networks

Their papers

• Q2D-Web: A Large-Scale Benchmark for Retrieval in Agentic RAG Systems (2026)
• jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval (2025)
• Jina CLIP: Your CLIP Model Is Also Your Text Retriever (2024)
• Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models (2024)
• Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models (2023)