LLMGuard: Guarding Against Unsafe LLM Behavior

no code implementations • 27 Feb 2024 • Shubh Goyal, Medha Hira, Shubham Mishra, Sukriti Goyal, Arnav Goel, Niharika Dadu, Kirushikesh DB, Sameep Mehta, Nishtha Madaan

Although the rise of Large Language Models (LLMs) in enterprise settings brings new opportunities and capabilities, it also brings challenges, such as the risk of generating inappropriate, biased, or misleading content that violates regulations and can have legal concerns.

A Multimodal Corpus for Emotion Recognition in Sarcasm

1 code implementation • LREC 2022 • Anupama Ray, Shubham Mishra, Apoorva Nunna, Pushpak Bhattacharyya

Detecting the emotion behind a sarcastic expression is non-trivial yet an important task.

Emotion Recognition Sarcasm Detection

Towards A Measure Of General Machine Intelligence

2 code implementations • 24 Sep 2021 • Gautham Venkatasubramanian, Sibesh Kar, Abhimanyu Singh, Shubham Mishra, Dushyant Yadav, Shreyansh Chandak

Using programs generated in this language, we demonstrate a match-based method to both score performance and calculate the generalization difficulty of any given set of tasks.