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Awesome concept β curated papers, datasets & benchmarks Β· Awesome Large Language Models
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10 papers Β· trending (default)
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RAPTOR: Ridge-Adaptive Logistic Probes
(2026)
Ziqi Gao et al.
1.94
CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation
(2026)
Fangtai Wu et al.
1.94
EmpiriGraph-Psy: A Dataset and LLM Pipeline for Extracting Empirical Relation Graphs from Psychology Abstracts
(2026)
Danqin Zhao et al.
1.94
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
(2025)
Zhen Zhang et al.
1.28
T-LoRA: Single Image Diffusion Model Customization Without Overfitting
(2025)
Vera Soboleva et al.
1.28
Inserting Anybody in Diffusion Models via Celeb Basis
(2023)
Ge Yuan et al.
β
PixArt-Ξ±: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
(2023)
Junsong Chen et al.
β
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
(2024)
Marius-Constantin Dinu et al.
β
MyVLM: Personalizing VLMs for User-Specific Queries
(2024)
Yuval Alaluf et al.
β
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning
(2024)
Boyu Chen et al.
β