Guanting Dong
Artificial Intelligence · 2025
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it
Whom Guanting Dong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Guanting Dong's perspective
Ordered by how strongly the researchers Guanting Dong trusts endorse each paper. Same corpus, a different order for every researcher.
- Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Neural Information Processing Systems)
- ReAct: Synergizing Reasoning and Acting in Language Models (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- OpenAI o1 System Card (arXiv.org)
- GPQA: A Graduate-Level Google-Proof Q&A Benchmark
- GAIA: a benchmark for General AI Assistants (arXiv.org)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- WebThinker: Empowering Large Reasoning Models with Deep Research Capability (2025) — 299 citations
- Search-o1: Agentic Search-Enhanced Large Reasoning Models (2025) — 446 citations