3 citations · 8 across the 8 of their papers we have counts for
8 papers
HALT: Hallucination Assessment via Log-probs as Time series
Ahmad Shapiro, Karan Taneja, Ashok Goel
Hallucinations remain a major obstacle for large language models (LLMs), especially in safety-critical domains. We present HALT (Hallucination Assessment via Log-probs as Time seri…
Jill Watson: A Virtual Teaching Assistant powered by ChatGPT
Karan Taneja, Pratyusha Maiti, Sandeep Kakar +3
Conversational AI agents often require extensive datasets for training that are not publicly released, are limited to social chit-chat or handling a specific domain, and may not be…
Monte Carlo Tree Search for Recipe Generation using GPT-2
Karan Taneja, Richard Segal, Richard Goodwin
Automatic food recipe generation methods provide a creative tool for chefs to explore and to create new, and interesting culinary delights. Given the recent success of large langua…
Can Active Label Correction Improve LLM-based Modular AI Systems?
Karan Taneja, Ashok Goel
Modular AI systems can be developed using LLM-prompts-based modules to minimize deployment time even for complex tasks. However, these systems do not always perform well and improv…
Investigating the Correlation between Force Output, Strains, and Pressure for Active Skeletal Muscle Contractions
Karan Taneja, Xiaolong He, Chung-Hao Lee +4
Measuring the forces of individual muscles in a muscle group around a joint is non-trivial, and researchers have suggested using surrogates for individual muscle forces instead. Tr…
A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems
Karan Taneja, Xiaolong He, Qizhi He +1
This work presents a multi-resolution physics-informed recurrent neural network (MR PI-RNN), for simultaneous prediction of musculoskeletal (MSK) motion and parameter identificatio…
Human-AI Interaction Design in Machine Teaching
Karan Taneja, Harshvardhan Sikka, Ashok Goel
Machine Teaching (MT) is an interactive process where a human and a machine interact with the goal of training a machine learning model (ML) for a specified task. The human teacher…
A Framework for Interactive Knowledge-Aided Machine Teaching
Karan Taneja, Harshvardhan Sikka, Ashok Goel
Machine Teaching (MT) is an interactive process where humans train a machine learning model by playing the role of a teacher. The process of designing an MT system involves decisio…