AXCEL: Automated eXplainable Consistency Evaluation using LLMs

no code implementations • 25 Sep 2024 • P Aditya Sreekar, Sahil Verma, Suransh Chopra, Sarik Ghazarian, Abhishek Persad, Narayanan Sadagopan

We also evaluate the influence of underlying LLMs on prompt based metric performance and recalibrate the SOTA prompt-based metrics with the latest LLMs for fair comparison.

Domain Generalization Natural Language Inference +1

Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer

1 code implementation • 20 Nov 2023 • P Aditya Sreekar, Sahil Verma, Varun Madhavan, Abhishek Persad

Shipping cost of these packages are used on the day of shipping (day 0) to estimate profitability of sales.

Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic's Hypothesis Space to RKHS

1 code implementation • 17 Nov 2020 • P Aditya Sreekar, Ujjwal Tiwari, Anoop Namboodiri

We argue that the high variance characteristic is due to the uncontrolled complexity of the critic's hypothesis space.

Mutual Information Estimation

Mutual Information Based Method for Unsupervised Disentanglement of Video Representation

1 code implementation • 17 Nov 2020 • P Aditya Sreekar, Ujjwal Tiwari, Anoop Namboodiri

In this work, we propose Mutual Information Predictive Auto-Encoder (MIPAE) framework, that reduces the task of predicting high dimensional video frames by factorising video representations into content and low dimensional pose latent variables that are easy to predict.

Autonomous Navigation Disentanglement +2