Haikang Deng

Haikang Deng has 2 papers in our library, in 2022–2025, most of them on Language models & pretraining, Vision & language; often with Adam Roberts, Cho-Jui Hsieh, Colin Raffel.

2 papers in our library · 2022–2025

The profile is the library's match of the name; two people with one name are not always told apart.

Fields, topics and concepts

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

Large Language Models Struggle to Learn Long-Tail Knowledge (2022 · 366 citations)
This paper asks whether the factual knowledge of large language models depends on how often a fact appears in their pre-training data.
DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation (2025 · 3 citations)
Text-to-image and text-to-video models are trained mostly on Standard American and British English. This paper asks how they cope when a prompt uses another English dialect. The authors built DialectGen, a benchmark covering SAE plus five other dialects: AAE, BrE, ChE, InE and SgE.

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

9 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Papers of our library cite their works 305 times (of the 149,439 papers whose bibliographies we read); 68 citing papers with a page here →.

Updated 30 October 2026