RALC is a retrieval-augmented rewriting pipeline that improves linguistic faithfulness and calibration of LLM outputs by up to 66% and 58% on QA benchmarks.
Evidential deep learning to quantify classification uncertainty.Advances in neural information processing systems, 31, 2018
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
OCELOT fuses a debounced force GMM-FSM and kinematic GLRT into an ESEKF to produce accurate leg odometry from IMU, encoders and force sensors while explicitly detecting and rejecting slippage on diverse terrains.
citing papers explorer
-
Retrieval-Augmented Linguistic Calibration
RALC is a retrieval-augmented rewriting pipeline that improves linguistic faithfulness and calibration of LLM outputs by up to 66% and 58% on QA benchmarks.
-
OCELOT: Odometry and Contact Estimation for Legged Robots
OCELOT fuses a debounced force GMM-FSM and kinematic GLRT into an ESEKF to produce accurate leg odometry from IMU, encoders and force sensors while explicitly detecting and rejecting slippage on diverse terrains.