12 citations · 15 across the 14 of their papers we have counts for
3 papers · 1 filter
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…
Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse
Jianwei Sun, Chaoyang Mei, Linlin Wei +4
The efficacy of large language models (LLMs) is heavily dependent on the quality of the underlying data, particularly within specialized domains. A common challenge when fine-tunin…