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Awesome finetuning β curated papers, datasets & benchmarks Β· Awesome Large Language Models
β all topics
overview
finetuning
19 papers tagged finetuning β re-sort below
Papers
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19 papers Β· trending (default)
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s1: Simple test-time scaling
(2025)
Niklas Muennighoff et al.
9.77
Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders
(2026)
Shengbang Tong et al.
1.94
CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models
(2026)
Wenxuan Song et al.
1.94
Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability
(2026)
Qihan Ren et al.
1.83
Provable Benefits of In-Tool Learning for Large Language Models
(2025)
Sam Houliston et al.
1.28
Multimodal Policy Internalization for Conversational Agents
(2025)
Zhenhailong Wang et al.
1.28
Agentic Design of Compositional Machines
(2025)
Wenqian Zhang et al.
1.28
Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains
(2025)
Austin Xu et al.
1.28
ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
(2025)
Shayne Longpre et al.
1.28
Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents
(2025)
Yueqi Song et al.
1.28
Generalist Foundation Models Are Not Clinical Enough for Hospital Operations
(2025)
Lavender Y. Jiang et al.
1.28
On Architectural Compression of Text-to-Image Diffusion Models
(2023)
Bo-Kyeong Kim et al.
β
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
(2023)
Weiyang Liu et al.
β
Time is Encoded in the Weights of Finetuned Language Models
(2023)
Kai Nylund et al.
β
SpeechVerse: A Large-scale Generalizable Audio Language Model
(2024)
Nilaksh Das et al.
β
VIMI: Grounding Video Generation through Multi-modal Instruction
(2024)
Yuwei Fang et al.
β
Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning
(2024)
Kaiwen Wang et al.
β
Vector-ICL: In-context Learning with Continuous Vector Representations
(2024)
Yufan Zhuang et al.
β
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
(2024)
Javier Ferrando et al.
β