When Discourse Pressures Conflict: Information Structure in Vision-Language Model Outputs

arXiv:2605.28346 · cs.CL · Submitted 2026-05-27 · Read on arXiv

cs.CL

Submitted: 2026-05-27

Updated: 2026-09-02

Terminology

• Information Structure — 13× in this paper
• Benchmark — 6× in this paper · explained in 2 episodes
• Mode Collapse — 6× in this paper · explained in 2 episodes
• Core — 5× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Clustering — 3× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 3× in this paper · explained in 6 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Pragmatics — 2× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative AI — 1× in this paper · explained in 2 episodes

Sources

• For GPT-4 as with Humans: Information Structure Predicts Acceptability of Long-Distance Dependencies
• Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity

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