Author

Marjan Ghazvininejad

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#artificial intelligence Preprint Oct 2026

Gacha Decoding: Eliciting Diverse Generations Through Instruction Following

We introduce Gacha Decoding, an inference-time method for eliciting diverse language model generations that scales with model capability. Across open-ended domains (in-the-wild chat, creative writing, planning for image generation, and protein design), Gacha Decoding significantly outperforms existing generation divers...

Scott Geng, Yu-Fei Zhang, J. Lee et al. · 0 citations

#artificial intelligence Jan 2026

Unified Text-Image Generation with Weakness-Targeted Post-Training

This work explores post-training to achieve fully unified text-image generation, where a model autonomously transitions from textual reasoning to visual synthesis within a single inference process, and enables improvements in multimodal image generation across four diverse, independent T2I benchmarks.

Jiahui Chen, Philippe Hansen-Estruch, Xiao-Chuang Han et al. · arXiv.org · 1 citation