activity
20222026
most citedTarGEN: Targeted Data Generation with Large Language Models

3 citations · 9 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2026

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…

cs.AI2024★ 2 cited

Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark

Himanshu Gupta, Shreyas Verma, Ujjwala Anantheswaran +4

Multi-modal Large Language Models (MLLMs) exhibit impressive problem-solving abilities in various domains, but their visual comprehension and abstract reasoning skills remain under…

cs.CL2024

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…

cs.CL2024

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…

cs.CL2023★ 3 cited

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…

cs.LG2023★ 1 cited

Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification

Bowen Xi, Kevin Scaria, Divyagna Bavikadi +1

Classification of movement trajectories has many applications in transportation and is a key component for large-scale movement trajectory generation and anomaly detection which ha…

cs.CL2023★ 3 cited

InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis

Kevin Scaria, Himanshu Gupta, Siddharth Goyal +3

We introduce InstructABSA, an instruction learning paradigm for Aspect-Based Sentiment Analysis (ABSA) subtasks. Our method introduces positive, negative, and neutral examples to e…

cs.CL2022

"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility

Himanshu Gupta, Neeraj Varshney, Swaroop Mishra +5

In current NLP research, large-scale language models and their abilities are widely being discussed. Some recent works have also found notable failures of these models. Often these…