44 citations · 52 across the 12 of their papers we have counts for
8 papers · 1 filter
Doing Less with More: A First-Principles Exploration of the Suitability of Agentic Computing over Alternative Architectural Choices
Ritvik Garimella, Biplav Srivastava, Amit Sheth
There is growing interest in automating business activities with Agentic Artificial Intelligence (AI) due to latter's seeming ease of use. Never has it been easier, or costlier, to…
Output Language Confusion under Multilingual Prompt Contamination
Riju Marwah, Ritvik Garimella, Khusham Bansal +2
Standard factual benchmarks assume clean monolingual prompts and exact-match scoring, two assumptions that break simultaneously in real-world multilingual deployment, from retrieva…
Neuro-symbolic PRM: Enhancing Scientific Reasoning via Structured Traces and Symbolic Verification
Yuxin Zi, Cong Xu, Suparna Bhattacharya +2
While tool-augmented Large Language Models have significantly improved multi-step reasoning in quantitative STEM tasks, a critical residual failure mode remains: intermediate reaso…
SAAG: Structured Agent Assessment and Grounding
Ritvik Garimella, Vedant Khandelwal, Anvi Kohli +1
Exact-match evaluation of agent-calling obscures qualitatively different failure modes: a model may select the right function yet hallucinate argument values, or satisfy a schema w…
CANDI: Contextual Alignment for Niche Domains Question Answering
Megha Chakraborty, Darssan L. Eswaramoorthi, Het Riteshkumar Shah +5
The deployment of large language models (LLMs) in specialized domains like medical diagnostics and financial advisory necessitates evaluating capabilities beyond general knowledge.…
Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement
Riju Marwah, Ritvik Garimella, Vishal Pallagani +3
Autoregressive language models frequently degrade during long-horizon generation, producing repetitive text, losing instruction adherence, and exhibiting unstable entropy. Despite…
Fast approximate Bayesian multidimensional scaling with consistency guarantees
Ami Sheth, Aaron Smith, Andrew J. Holbrook
Bayesian multidimensional scaling (BMDS) embeds objects in a low-dimensional space to approximately preserve an observed dissimilarity matrix. Compared to classic MDS, BMDS is…
Chatsparent: An Interactive System for Detecting and Mitigating Cognitive Fatigue in LLMs
Riju Marwah, Vishal Pallagani, Ritvik Garimella +1
LLMs are increasingly being deployed as chatbots, but today's interfaces offer little to no friction: users interact through seamless conversations that conceal when the model is d…