Publications

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A collection of my academic publications, conference papers, and technical reports. These works represent contributions to the fields of machine learning, artificial intelligence, and their applications.

Academic Publications

Trust by Design: Skill Profiles for Transparent, Cost-Aware LLM Routing

BELLA (Budget-Efficient LLM Selection via Automated skill-profiling), a framework that recommends optimal LLM selection for tasks through interpretable skill-based model selection.

Feb 2, 2026
Mika Okamoto, Ansel Kaplan Erol, Glenn Matlin

FinForge: Semi-Synthetic Financial Benchmark Generation

A framework for semi-synthetic financial benchmark generation to enable rigorous and scalable evaluation of language models in finance.

Jan 11, 2026
Glenn Matlin, Akhil Theerthala, Avinash Gupta, JM Anirudh, Ricardo Castilla, Yee Man Ng, Sudheer Chava

Financial Instruction Following Evaluation (FIFE)

A novel, high-difficulty benchmark designed to assess LM instruction-following capabilities for financial analysis tasks.

Dec 1, 2025
Glenn Matlin, Siddharth , Anirudh JM, Aditya Shukla, Yahya Hassan, Sudheer Chava

Shall We Play a Game? Language Models for Open-ended Wargames

An exploration of language models for open-ended wargames, investigating AI systems’ ability to influence large-scale decisions with implications for safety and interpretability.

Sep 21, 2025
Glenn Matlin, Parv Mahajan, Isaac Song, Yixiong Hao, Ryan Bard, Stu Topp, Evan Montoya, M. Rehan Parwani, Soham Shetty, Mark Riedl

Do Language Models Agree with Human Perceptions of Suspense in Stories?

An investigation into whether language models can distinguish and estimate suspense in text sequences compared to human judgments.

Aug 13, 2025
Glenn Matlin, Devin Zhang, RB Loza, DM Popescu, J Isbell, C Chakraborty, Mark Riedl

UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification

A cost-aware and uncertainty-based framework for dynamic 2D prediction in multi-stage classification systems.

Oct 19, 2022
Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Chao Zhang, Alexey Tumanov
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