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researcher

Caiming Xiong

9 papers hereh-index 7717 citations12 works total

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

author position
  • middle author8

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI2
  • cs.CV1
  • cs.CY1
  • cs.LG1
same name
  • Caiming Xiong — 137 papers, h 73
  • Caiming Xiong — 88 papers, h 39
  • Caiming Xiong — 75 papers, h 27
  • Caiming Xiong — 27 papers, h 15
  • Caiming Xiong — 24 papers, h 16
  • Caiming Xiong — 22 papers, h 11

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 citedTrustLLM: Trustworthiness in Large Language Models

54 citations · 56 across the 8 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?

Haolin Chen, Deon Metelski, Leon Qi +30

End-to-end automation of realistic healthcare operations stresses three capabilities underrepresented in current benchmarks: policy density, decisions must be grounded in a large l…

cs.CL2024

GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers

Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang +3

The effectiveness of large language models (LLMs) is closely tied to the design of prompts, making prompt optimization essential for enhancing their performance across a wide range…

cs.CL2024★ 54 cited

TrustLLM: Trustworthiness in Large Language Models

Yue Huang, Lichao Sun, Haoran Wang +67

Large language models (LLMs), exemplified by ChatGPT, have gained considerable attention for their excellent natural language processing capabilities. Nonetheless, these LLMs prese…

cs.CL2023★ 1 cited

Fair Abstractive Summarization of Diverse Perspectives

Yusen Zhang, Nan Zhang, Yixin Liu +9

People from different social and demographic groups express diverse perspectives and conflicting opinions on a broad set of topics such as product reviews, healthcare, law, and pol…

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