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Qian Huang

12 papers hereh-index 123.6k citations15 works total

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

author position
  • first author7
  • middle author4

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.CL4
  • cs.CV1
same name
  • Qian Huang — 7 papers, h 2
  • Qian Huang — 7 papers, h 4
  • Qian Huang — 5 papers, h 1
  • Qian Huang — 5 papers, h 5
  • Qian Huang — 4 papers, h 3
  • Qian Huang — 4 papers, h 7

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
20192024
most citedHolistic Evaluation of Language Models

128 citations · 366 across the 12 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2024★ 2 cited

When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

Norah Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay +9

Large Language Model (LLM) leaderboards based on benchmark rankings are regularly used to guide practitioners in model selection. Often, the published leaderboard rankings are take…

cs.CL2023

Lexinvariant Language Models

Qian Huang, Eric Zelikman, Sarah Li Chen +3

Token embeddings, a mapping from discrete lexical symbols to continuous vectors, are at the heart of any language model (LM). However, lexical symbol meanings can also be determine…

cs.CL2022★ 14 cited

Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions

Eric Zelikman, Qian Huang, Gabriel Poesia +2

Despite recent success in large language model (LLM) reasoning, LLMs struggle with hierarchical multi-step reasoning tasks like generating complex programs. For these tasks, humans…

cs.CL2022★ 128 cited

Holistic Evaluation of Language Models

Percy Liang, Rishi Bommasani, Tony Lee +47

Language models (LMs) are becoming the foundation for almost all major language technologies, but their capabilities, limitations, and risks are not well understood. We present Hol…

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