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Shenglin Zhang

2 accepted papers

2026

A High Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation

ICLR 2026poster

Recent advancements in Large Multimodal Models (LMMs) have significantly improved multimodal understanding and generation. However, these models still struggle to generate tightly interleaved image-text outputs, primarily due to the limited scale, quality and instructional richness of current traini…

Cited by 0SourceScholar
2026

Graph of States: Solving Abductive Tasks with Large Language Models

ICML 2026poster

Logical reasoning encompasses deduction, induction, and abduction. However, while Large Language Models (LLMs) have effectively mastered the former two, abductive reasoning remains significantly underexplored. Existing frameworks, predominantly designed for static deductive tasks, fail to generalize…

Cited by 0SourceScholar