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Mert Yuksekgonul

Stanford University

17 papers hereh-index 185.1k citations26 works total

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

author position
  • first author6
  • middle author10

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.CL4
  • cs.AI3
  • cs.CV2
  • cs.CY1
affiliations
  • Stanford University
Homepage
same name
  • Mert Yuksekgonul — 4 papers, h 4

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
20192026
most citedGPT detectors are biased against non-native English writers

40 citations · 116 across the 13 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Sparse Reward Subsystem in Large Language Models

Guowei Xu, Mert Yuksekgonul, James Zou

Recent studies show that LLM hidden states encode reward-related information, such as answer correctness and model confidence. However, existing approaches typically fit black-box…

cs.CL2024★ 12 cited

TextGrad: Automatic "Differentiation" via Text

Mert Yuksekgonul, Federico Bianchi, Joseph Boen +4

AI is undergoing a paradigm shift, with breakthroughs achieved by systems orchestrating multiple large language models (LLMs) and other complex components. As a result, developing…

cs.CL2023★ 3 cited

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models

Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones +5

We investigate the internal behavior of Transformer-based Large Language Models (LLMs) when they generate factually incorrect text. We propose modeling factual queries as constrain…

cs.CL2023★ 40 cited

GPT detectors are biased against non-native English writers

Weixin Liang, Mert Yuksekgonul, Yining Mao +2

The rapid adoption of generative language models has brought about substantial advancements in digital communication, while simultaneously raising concerns regarding the potential…

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