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researcher

Y. Lee

46 papers hereh-index 5113.8k citations128 works total

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

author position
  • first author10
  • middle author30
  • last author6

Across the 46 of 46 papers where every author was matched, so the position is known.

fields
  • cs.DS24
  • cs.LG8
  • math.OC5
  • cs.CL4
  • math.PR2
  • cs.CG1
same name
  • Y. Lee — 128 papers
  • Y. Lee — 124 papers
  • Y. Lee — 32 papers, h 30
  • Y. Lee — 21 papers, h 15
  • Y. Lee — 20 papers, h 28
  • Y. Lee — 10 papers, h 14

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
20132023
most citedSparks of Artificial General Intelligence: Early experiments with GPT-4

1.6k citations · 1.7k across the 22 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2023

Textbooks Are All You Need

Suriya Gunasekar, Yi Zhang, Jyoti Aneja +16

We introduce phi-1, a new large language model for code, with significantly smaller size than competing models: phi-1 is a Transformer-based model with 1.3B parameters, trained for…

cs.CL2023

MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Yiran Wu, Feiran Jia, Shaokun Zhang +7

Employing Large Language Models (LLMs) to address mathematical problems is an intriguing research endeavor, considering the abundance of math problems expressed in natural language…

cs.CL2023

Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Reid Pryzant, Dan Iter, Jerry Li +3

Large Language Models (LLMs) have shown impressive performance as general purpose agents, but their abilities remain highly dependent on prompts which are hand written with onerous…

cs.CL2023★ 1.6k cited

Sparks of Artificial General Intelligence: Early experiments with GPT-4

Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan +11

Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks,…

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