Token Probabilities to Mitigate Large Language Models Overconfidence in Answering Medical Questions: Quantitative Study
【DL輪読会】Token Probabilities to Mitigate Large Language Models Overconfidence in Answer more
Category:
Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory
【DL輪読会】Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspe more
Pruning as a Game: Equilibrium-Driven Sparsification of Neural Networks
【DL輪読会】Pruning as a Game: Equilibrium-Driven Sparsification of Neural Networks by @De more
Pre-Trained Video Generative Models as World Simulators
【DL輪読会】Pre-Trained Video Generative Models as World Simulators by @DeepLearning2023
NFIG: Multi-Scale Autoregressive Image Generation via Frequency Ordering
【DL輪読会】NFIG: Multi-Scale Autoregressive Image Generation via Frequency Ordering by @D more
Dreamer 4: Training Agents Inside of Scalable World Models
【Diffusion勉強会】Dreamer 4: Training Agents Inside of Scalable World Models by @DeepLear more
Self-Improving VLM Judges Without Human Annotation
【DL輪読会】Self-Improving VLM Judges Without Human Annotation by @DeepLearning2023
Self-Improving VLM Judges Without Human Annotation
https://www.docswell.com/s/DeepLearning2023/KN9YRQ-2025-12-19-161307
“ROBOTOUILLE: AN ASYNCHRONOUS PLANNING BENCHMARK FOR LLM AGENTS”
【DL輪読会】"ROBOTOUILLE: AN ASYNCHRONOUS PLANNING BENCHMARK FOR LLM AGENTS" by more
Next-Latent Prediction Transformers Learn Compact World Models
【DL輪読会】Next-Latent Prediction Transformers Learn Compact World Models by @DeepLearnin more