2 citations · 2 across the 1 of their papers we have counts for
4 papers · 1 filter
Gradient-Controlled Decoding: A Safety Guardrail for LLMs with Dual-Anchor Steering
Purva Chiniya, Kevin Scaria, Sagar Chaturvedi
Large language models (LLMs) remain susceptible to jailbreak and direct prompt-injection attacks, yet the strongest defensive filters frequently over-refuse benign queries and degr…
Cutting Through the Noise: Boosting LLM Performance on Math Word Problems
Ujjwala Anantheswaran, Himanshu Gupta, Kevin Scaria +3
Large Language Models (LLMs) excel at various tasks, including solving math word problems (MWPs), but struggle with real-world problems containing irrelevant information. To addres…
TarGEN: Targeted Data Generation with Large Language Models
Himanshu Gupta, Kevin Scaria, Ujjwala Anantheswaran +5
The rapid advancement of large language models (LLMs) has sparked interest in data synthesis techniques, aiming to generate diverse and high-quality synthetic datasets. However, th…
Embarrassingly Simple Unsupervised Aspect Based Sentiment Tuple Extraction
Kevin Scaria, Abyn Scaria, Ben Scaria
Aspect Based Sentiment Analysis (ABSA) tasks involve the extraction of fine-grained sentiment tuples from sentences, aiming to discern the author's opinions. Conventional methodolo…