8 citations · 25 across the 15 of their papers we have counts for
15 papers
Simulating Meaning, Nevermore! Introducing ICR: A Semiotic-Hermeneutic Metric for Evaluating Meaning in LLM Text Summaries
Natalie Perez, Sreyoshi Bhaduri, Aman Chadha
Meaning in human language is relational, context dependent, and emergent, arising from dynamic systems of signs rather than fixed word-concept mappings. In computational settings,…
OpComm: A Reinforcement Learning Framework for Adaptive Buffer Control in Warehouse Volume Forecasting
Wilson Fung, Lu Guo, Drake Hilliard +11
Accurate forecasting of package volumes at delivery stations is critical for last-mile logistics, where errors lead to inefficient resource allocation, higher costs, and delivery d…
Node-Level Financial Optimization in Demand Forecasting Through Dynamic Cost Asymmetry and Feedback Mechanism
Alessandro Casadei, Clemens Grupp, Sreyoshi Bhaduri +6
This work introduces a methodology to adjust forecasts based on node-specific cost function asymmetry. The proposed model generates savings by dynamically incorporating the cost as…
Scaling Causal Mediation for Complex Systems: A Framework for Root Cause Analysis
Alessandro Casadei, Sreyoshi Bhaduri, Rohit Malshe +4
Modern operational systems ranging from logistics and cloud infrastructure to industrial IoT, are governed by complex, interdependent processes. Understanding how interventions pro…
Levers of Power in the Field of AI
Tammy Mackenzie, Sukriti Punj, Natalie Perez +2
This paper examines how decision makers in academia, government, business, and civil society navigate questions of power in implementations of artificial intelligence. The study ex…
Canary in the Mine: An LLM Augmented Survey of Disciplinary Complaints to the Ordre des ingénieurs du Québec (OIQ)
Tammy Mackenzie, Varsha Kesavan, Thomas Mekhael +4
This study uses pre-trained LLMs to conduct thematic analysis to investigate disciplinary incidents involving engineers in Quebec, shedding light on critical gaps in engineering ed…
Transforming Expert Knowledge into Scalable Ontology via Large Language Models
Ikkei Itoku, David Theil, Evelyn Eichelsdoerfer Uehara +7
Having a unified, coherent taxonomy is essential for effective knowledge representation in domain-specific applications as diverse terminologies need to be mapped to underlying con…
Whole-Person Education for AI Engineers
Rubaina Khan, Tammy Mackenzie, Sreyoshi Bhaduri +18
This autoethnographic study explores the need for interdisciplinary education spanning both technical and philosophical skills - as such, this study leverages whole-person educatio…
What We Do Not Know: GPT Use in Business and Management
Tammy Mackenzie, Branislav Radeljic, Leslie Salgado +5
This systematic review examines peer-reviewed studies on application of GPT in business management, revealing significant knowledge gaps. Despite identifying interesting research d…
IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding
Sankalp KJ, Ashutosh Kumar, Laxmaan Balaji +4
Known by more than 1.5 billion people in the Indian subcontinent, Indic languages present unique challenges and opportunities for natural language processing (NLP) research due to…
Potential and Perils of Large Language Models as Judges of Unstructured Textual Data
Rewina Bedemariam, Natalie Perez, Sreyoshi Bhaduri +7
Rapid advancements in large language models have unlocked remarkable capabilities when it comes to processing and summarizing unstructured text data. This has implications for the…
Qualitative Insights Tool (QualIT): LLM Enhanced Topic Modeling
Satya Kapoor, Alex Gil, Sreyoshi Bhaduri +2
Topic modeling is a widely used technique for uncovering thematic structures from large text corpora. However, most topic modeling approaches e.g. Latent Dirichlet Allocation (LDA)…
Reconciling Methodological Paradigms: Employing Large Language Models as Novice Qualitative Research Assistants in Talent Management Research
Sreyoshi Bhaduri, Satya Kapoor, Alex Gil +2
Qualitative data collection and analysis approaches, such as those employing interviews and focus groups, provide rich insights into customer attitudes, sentiment, and behavior. Ho…
Decoding the Diversity: A Review of the Indic AI Research Landscape
Sankalp KJ, Vinija Jain, Sreyoshi Bhaduri +2
This review paper provides a comprehensive overview of large language model (LLM) research directions within Indic languages. Indic languages are those spoken in the Indian subcont…
Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications
Charith Chandra Sai Balne, Sreyoshi Bhaduri, Tamoghna Roy +2
The rise of deep learning has marked significant progress in fields such as computer vision, natural language processing, and medical imaging, primarily through the adaptation of p…