83 citations · 380 across the 28 of their papers we have counts for
6 papers · 1 filter
Instruct-SCTG: Guiding Sequential Controlled Text Generation through Instructions
Yinhong Liu, Yixuan Su, Ehsan Shareghi +1
Instruction-tuned large language models have shown remarkable performance in aligning generated text with user intentions across various tasks. However, maintaining human-like disc…
Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective
Huayang Li, Tian Lan, Zihao Fu +5
There are a number of diverging hypotheses about the neural text degeneration problem, i.e., generating repetitive and dull loops, which makes this problem both interesting and con…
Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models
Yupan Huang, Zaiqiao Meng, Fangyu Liu +3
Large language models exhibit enhanced zero-shot performance on various tasks when fine-tuned with instruction-following data. Multimodal instruction-following models extend these…
PandaGPT: One Model To Instruction-Follow Them All
Yixuan Su, Tian Lan, Huayang Li +3
We present PandaGPT, an approach to emPower large lANguage moDels with visual and Auditory instruction-following capabilities. Our pilot experiments show that PandaGPT can perform…
Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization
Zihao Fu, Yixuan Su, Zaiqiao Meng +1
Biomedical named entity recognition is one of the core tasks in biomedical natural language processing (BioNLP). To tackle this task, numerous supervised/distantly supervised appro…
COFFEE: A Contrastive Oracle-Free Framework for Event Extraction
Meiru Zhang, Yixuan Su, Zaiqiao Meng +2
Event extraction is a complex information extraction task that involves extracting events from unstructured text. Prior classification-based methods require comprehensive entity an…