Gacha Decoding: Eliciting Diverse Generations Through Instruction Following
cs.AI, cs.CL
Submitted: 2026-10-01
Updated: 2026-10-01
Terminology
Sources
- How LLMs Distort Our Written Language
- gpt-oss-120b & gpt-oss-20b Model Card
- Intent Factored Generation: Unleashing the Diversity in Your Language Model
- The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
- The Vendi Score: A Diversity Evaluation Metric for Machine Learning
- DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
- Scaling Synthetic Data Creation with 1,000,000,000 Personas
- The Curious Case of Neural Text Degeneration
- Where does output diversity collapse in post-training?
- Understanding the Effects of RLHF on LLM Generalisation and Diversity
- Jointly Reinforcing Diversity and Quality in Language Model Generations
- The Basic B*** Effect: The Use of LLM-based Agents Reduces the Distinctiveness and Diversity of People's Choices
- EQ-Bench: An Emotional Intelligence Benchmark for Large Language Models
- Toward Diverse Text Generation with Inverse Reinforcement Learning
- Evaluating the Diversity and Quality of LLM Generated Content
- Annotations Mitigate Post-Training Mode Collapse
- Gemma 4 Technical Report
- Base Models Beat Aligned Models at Randomness and Creativity
- Mode-Conditioning Unlocks Superior Test-Time Scaling
- Qwen-Image Technical Report
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