collaborators

8 papers

quant-ph2026

SPSA Hyperparameter Tuning for Variational Quantum Natural Language Inference

Nayan D'Souza, Christopher J. Agostino

Training variational quantum models requires choosing between parameter-shift gradients, which are exact but cost forward evaluations, and simultaneous perturbation stochast…

cs.CL2026

Phase-Associative Memory: Sequence Modeling in Complex Hilbert Space

Gowrav Vishwakarma, Christopher J. Agostino

Experiments probing natural language processing by both humans and LLMs suggest that the meaning of a semantic expression is indeterminate prior to the act of interpretation rather…

cs.CL2026

The production of meaning in the processing of natural language

Christopher J. Agostino, Quan Le Thien, Nayan D'Souza +1

Understanding the fundamental mechanisms governing the production of meaning in the processing of natural language is critical for designing safe, thoughtful, engaging, and empower…

cs.MA2026

Herding CATs: ALARA for Agent Harness Engineering in Portable Composable Multi-Agent Teams

Christopher J. Agostino, Nayan D'Souza

Industry practitioners and academic researchers regularly use multi-agent systems to accelerate their work, but the applications through which users operate these systems do not pr…

q-bio.NC2025

Analysis of a Spatialized Brain-Body-Environment System

Denizhan Pak, Quan Le Thien, Christopher J. Agostino

The brain-body-environment framework studies adaptive behavior through embodied and situated agents, emphasizing interactions between brains, biomechanics, and environmental dynami…

cs.CL2025

Every 28 Days the AI Dreams of Soft Skin and Burning Stars: Scaffolding AI Agents with Hormones and Emotions

Leigh Levinson, Christopher J. Agostino

Despite significant advances, AI systems struggle with the frame problem: determining what information is contextually relevant from an exponentially large possibility space. We hy…

cs.CL2025

TinyTim: A Family of Language Models for Divergent Generation

Christopher J. Agostino

In the search for artificial general intelligence, model development and training has focused primarily on vast datasets of known problems and their accepted solutions. This proces…

cs.CL2025

A quantum semantic framework for natural language processing

Christopher J. Agostino, Quan Le Thien, Molly Apsel +3

Semantic degeneracy represents a fundamental property of natural language that extends beyond simple polysemy to encompass the combinatorial explosion of potential interpretations…