12 citations · 14 across the 4 of their papers we have counts for
5 papers
Estimating the Error of Large Language Models at Pairwise Text Comparison
Tianyi Li
We measure LLMs' output error at pairwise text comparison, noting the probability of error in their preferences. Our method does not rely on the ground truth and supports two scena…
A Multi-Task Evaluation of LLMs' Processing of Academic Text Input
Tianyi Li, Yu Qin, Olivia R. Liu Sheng
How much large language models (LLMs) can aid scientific discovery, notably in assisting academic peer review, is in heated debate. Between a literature digest and a human-comparab…
User-Centered Design with AI in the Loop: A Case Study of Rapid User Interface Prototyping with "Vibe Coding"
Tianyi Li, Tanay Maheshwari, Alex Voelker
We present a case study of using generative user interfaces, or ``vibe coding,'' a method leveraging large language models (LLMs) for generating code via natural language prompts,…
Open-Sora: Democratizing Efficient Video Production for All
Zangwei Zheng, Xiangyu Peng, Tianji Yang +6
Vision and language are the two foundational senses for humans, and they build up our cognitive ability and intelligence. While significant breakthroughs have been made in AI langu…
HalluCana: Fixing LLM Hallucination with A Canary Lookahead
Tianyi Li, Erenay Dayanik, Shubhi Tyagi +1
In this paper, we present HalluCana, a canary lookahead to detect and correct factuality hallucinations of Large Language Models (LLMs) in long-form generation. HalluCana detects a…