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Tianyi Tang

24 papers hereh-index 176.1k citations31 works total

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

author position
  • first author7
  • middle author16

Across the 23 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CL22
  • cs.AI1
  • cs.CV1
same name
  • Tianyi Tang — 14 papers, h 5
  • Tianyi Tang — 5 papers, h 5
  • Tianyi Tang — 1 paper, h 2

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
20212024
most citedA Survey of Large Language Models

1.5k citations · 1.7k across the 24 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CL2024

Neuron-based Personality Trait Induction in Large Language Models

Jia Deng, Tianyi Tang, Yanbin Yin +3

Large language models (LLMs) have become increasingly proficient at simulating various personality traits, an important capability for supporting related applications (e.g., role-p…

cs.CL2024

LLMBox: A Comprehensive Library for Large Language Models

Tianyi Tang, Yiwen Hu, Bingqian Li +22

To facilitate the research on large language models (LLMs), this paper presents a comprehensive and unified library, LLMBox, to ease the development, use, and evaluation of LLMs. T…

cs.CL2024

Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models

Yushuo Chen, Tianyi Tang, Erge Xiang +5

In real world, large language models (LLMs) can serve as the assistant to help users accomplish their jobs, and also support the development of advanced applications. For the wide…

cs.CL2024★ 1 cited

Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models

Tianyi Tang, Wenyang Luo, Haoyang Huang +5

Large language models (LLMs) demonstrate remarkable multilingual capabilities without being pre-trained on specially curated multilingual parallel corpora. It remains a challenging…

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