ASMR extracts concepts with an LLM, clusters them into candidate fields, then uses RL to select compact non-redundant schemas for each ship-report form type.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
MoRE enables MLLMs to dynamically coordinate heterogeneous retrieval experts via Step-GRPO training, yielding over 7% average gains on open-domain QA benchmarks.
PIWM aligns latent states in image-based world models with physical variables and constrains their dynamics to known equations via weak distribution supervision, yielding accurate long-horizon predictions and parameter recovery on Cart Pole, Lunar Lander, and Donkey Car.
citing papers explorer
-
ASMR: Agentic Schema Generation for Ship Maintenance Report Writing
ASMR extracts concepts with an LLM, clusters them into candidate fields, then uses RL to select compact non-redundant schemas for each ship-report form type.
-
Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation
MoRE enables MLLMs to dynamically coordinate heterogeneous retrieval experts via Step-GRPO training, yielding over 7% average gains on open-domain QA benchmarks.
-
Physically Interpretable World Models via Weakly Supervised Representation Learning
PIWM aligns latent states in image-based world models with physical variables and constrains their dynamics to known equations via weak distribution supervision, yielding accurate long-horizon predictions and parameter recovery on Cart Pole, Lunar Lander, and Donkey Car.