Papers by Jingrui Tian

2 papers
STRICT: Stress-Test of Rendering Image Containing Text (2025.emnlp-main)

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Challenge: Despite the advances in diffusion models, the generation of coherent text remains a major bottleneck.
Approach: They propose a benchmark to test the ability of diffusion models to render coherent text in images.
Outcome: The proposed model fails to generate coherent and legible text in images despite its iterative nature . the model fails in both the maximum length of readable text and correctness and legibility of the generated text .
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs (2025.findings-emnlp)

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Challenge: Learning to Instruct is a new paradigm for black-box LLMs with inaccessible internal states.
Approach: They propose a new paradigm that formulates instruction optimization as an LLM fine-tuning objective for a white-box “instruction engineer” LLM.
Outcome: The proposed framework outperforms strong baselines in performance and efficiency.

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