Prompt-to-Leaderboard
Paper
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2502.14855
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Published
•
7
general
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Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Paper • 2502.16894 • Published • 31 -
Generating Skyline Datasets for Data Science Models
Paper • 2502.11262 • Published • 7 -
Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge
Paper • 2502.12501 • Published • 6 -
Large Language Diffusion Models
Paper • 2502.09992 • Published • 116 -
Region-Adaptive Sampling for Diffusion Transformers
Paper • 2502.10389 • Published • 54 -
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
Paper • 2502.13533 • Published • 11 -
PAFT: Prompt-Agnostic Fine-Tuning
Paper • 2502.12859 • Published • 15 -
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey
Paper • 2502.10708 • Published • 4 -
FinMTEB: Finance Massive Text Embedding Benchmark
Paper • 2502.10990 • Published • 3 -
SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?
Paper • 2502.12115 • Published • 45 -
I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
Paper • 2502.10458 • Published • 36 -
Fine-Tuning Small Language Models for Domain-Specific AI: An Edge AI Perspective
Paper • 2503.01933 • Published • 12 -
Chain of Draft: Thinking Faster by Writing Less
Paper • 2502.18600 • Published • 48 -
Gemini Embedding: Generalizable Embeddings from Gemini
Paper • 2503.07891 • Published • 38