Tianhao Wu

arXiv.org · with Chiang · 2024

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

Papers from Tianhao Wu's perspective

Ordered by how strongly the researchers Tianhao Wu 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. SQuAD: 100,000+ Questions for Machine Comprehension of Text
3. Finetuned Language Models Are Zero-Shot Learners
4. A large annotated corpus for learning natural language inference
5. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
6. Evaluating Large Language Models Trained on Code (arXiv.org)
7. Extracting Training Data from Large Language Models
8. Measuring Mathematical Problem Solving With the MATH Dataset
9. HellaSwag: Can a Machine Really Finish Your Sentence?
10. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Their papers

• From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline (2024) — 481 citations
• RouteLLM: Learning to Route LLMs with Preference Data (2024) — 517 citations