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researcher

John Nham

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedKnowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts

3 citations · 3 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2025

Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting

Yufei Li, John Nham, Ganesh Jawahar +7

Generic text rewriting is a prevalent large language model (LLM) application that covers diverse real-world tasks, such as style transfer, fact correction, and email editing. These…

cs.CL2022★ 3 cited

Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts

Cicero Nogueira dos Santos, Zhe Dong, Daniel Cer +4

Soft prompts have been recently proposed as a tool for adapting large frozen language models (LMs) to new tasks. In this work, we repurpose soft prompts to the task of injecting wo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.