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Awesome diversity β curated papers, datasets & benchmarks Β· Awesome Large Language Models
β all topics
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15 papers tagged diversity β re-sort below
Papers
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15 papers Β· trending (default)
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Sci-CoE: Co-evolving Scientific Reasoning LLMs via Geometric Consensus with Sparse Supervision
(2026)
Xiaohan He et al.
1.94
Free Lunch for Pass@k? Low Cost Diverse Sampling for Diffusion Language Models
(2026)
Sean Lamont et al.
1.94
Dual-View Training for Instruction-Following Information Retrieval
(2026)
Qingcheng Zeng et al.
1.94
Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems
(2026)
Shaoyang Xu et al.
1.94
PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems
(2026)
Suraj Ranganath et al.
1.94
HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining
(2026)
Juncheng Ma et al.
1.94
YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment
(2025)
Amitava Das et al.
1.28
DRAGON: Distributional Rewards Optimize Diffusion Generative Models
(2025)
Yatong Bai et al.
1.28
OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation
(2025)
Jingjing Chang et al.
1.28
Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
(2025)
Siwei Wang et al.
1.28
Epistemic Diversity and Knowledge Collapse in Large Language Models
(2025)
Dustin Wright et al.
1.28
Static Sandboxes Are Inadequate: Modeling Societal Complexity Requires Open-Ended Co-Evolution in LLM-Based Multi-Agent Simulations
(2025)
Jinkun Chen et al.
1.28
video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models
(2024)
Guangzhi Sun et al.
β
MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation
(2024)
Sankalp Sinha et al.
β
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models
(2024)
Alex Havrilla et al.
β