Search Results for author: Sreeram Vennam

Found 3 papers, 1 papers with code

Generating Explanations for Cellular Neural Networks

no code implementations5 Jun 2024 Akshit Sinha, Sreeram Vennam, Charu Sharma, Ponnurangam Kumaraguru

In the real world, higher-order structures are ubiquitous like in molecules or social networks, thus our work significantly enhances the practical applicability of graph explanations.

Graph Learning

SaGE: Evaluating Moral Consistency in Large Language Models

1 code implementation21 Feb 2024 Vamshi Krishna Bonagiri, Sreeram Vennam, Priyanshul Govil, Ponnurangam Kumaraguru, Manas Gaur

To this extent, we construct the Moral Consistency Corpus (MCC), containing 50K moral questions, responses to them by LLMs, and the RoTs that these models followed.

Decision Making Moral Scenarios

Measuring Moral Inconsistencies in Large Language Models

no code implementations26 Jan 2024 Vamshi Krishna Bonagiri, Sreeram Vennam, Manas Gaur, Ponnurangam Kumaraguru

To address this issue, we propose a novel information-theoretic measure called Semantic Graph Entropy (SGE) to measure the consistency of an LLM in moral scenarios.

Decision Making Language Modelling +2

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