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Siru Ouyang

16 papers hereh-index 9591 citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author12

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL10
  • cs.AI3
  • cs.CV1
  • cs.IR1
  • cs.LG1
same name
  • Siru Ouyang — 9 papers, h 9
  • Siru Ouyang — 8 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedA Survey on Retrieval And Structuring Augmented Generation with Large Language Models

15 citations · 27 across the 15 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CL2024

Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation

Siru Ouyang, Shuohang Wang, Minhao Jiang +4

Speculative decoding stands as a pivotal technique to expedite inference in autoregressive (large) language models. This method employs a smaller draft model to speculate a block o…

cs.CL2024

Synergizing Unsupervised Episode Detection with LLMs for Large-Scale News Events

Priyanka Kargupta, Yunyi Zhang, Yizhu Jiao +2

State-of-the-art automatic event detection struggles with interpretability and adaptability to evolving large-scale key events -- unlike episodic structures, which excel in these a…

cs.CV2024★ 2 cited

Multi-LoRA Composition for Image Generation

Ming Zhong, Yelong Shen, Shuohang Wang +6

Low-Rank Adaptation (LoRA) is extensively utilized in text-to-image models for the accurate rendition of specific elements like distinct characters or unique styles in generated im…

cs.CL2024★ 6 cited

Investigating Data Contamination for Pre-training Language Models

Minhao Jiang, Ken Ziyu Liu, Ming Zhong +4

Language models pre-trained on web-scale corpora demonstrate impressive capabilities on diverse downstream tasks. However, there is increasing concern whether such capabilities mig…

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