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20242026
most citedConfabulation: The Surprising Value of Large Language Model Hallucinations

11 citations · 11 across the 5 of their papers we have counts for

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cs.CL2026

Spoiler Alert: Narrative Forecasting as a Metric for Tension in LLM Storytelling

Peiqi Sui, Yutong Zhu, Tianyi Cheng +4

LLMs have so far failed both to generate consistently compelling stories and to recognize this failure--on the leading creative-writing benchmark (EQ-Bench), LLM judges rank zero-s…

cs.CL2026

LLMs Exhibit Significantly Lower Uncertainty in Creative Writing Than Professional Writers

Peiqi Sui

We argue that uncertainty is a key and understudied limitation of LLMs' performance in creative writing, which is often characterized as trite and cliché-ridden. Literary theory id…

cs.CL2025

Critical Confabulation: Can LLMs Hallucinate for Social Good?

Peiqi Sui, Eamon Duede, Hoyt Long +1

LLMs hallucinate, yet some confabulations can have social affordances if carefully bounded. We propose critical confabulation (inspired by critical fabulation from literary and soc…

cs.CL2025

KRISTEVA: Close Reading as a Novel Task for Benchmarking Interpretive Reasoning

Peiqi Sui, Juan Diego Rodriguez, Philippe Laban +5

Each year, tens of millions of essays are written and graded in college-level English courses. Students are asked to analyze literary and cultural texts through a process known as…

cs.CL2024★ 11 cited

Confabulation: The Surprising Value of Large Language Model Hallucinations

Peiqi Sui, Eamon Duede, Sophie Wu +1

This paper presents a systematic defense of large language model (LLM) hallucinations or 'confabulations' as a potential resource instead of a categorically negative pitfall. The s…