1 citations · 4 across the 59 of their papers we have counts for
5 papers · 1 filter
Before Answering: Evidence Sufficiency under Size-Matched Memory Construction
Joyanta Jyoti Mondal, Md. Shifatul Ahsan Apurba, Mridul Banik +2
Agents that answer questions from compressed or retrieved memory must recognize when the evidence a query needs is no longer in memory. Benchmarks for this task usually create insu…
StepCOPS: Closed-Testing Lower-Tail Certificates for Language-Model Policy Selection
Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
Post-training pipelines must select one language-model policy from many checkpoints, prompts, and decoding rules. Mean evaluator scores can conceal rare failures, whereas simultane…
Adaptive Constraint Propagation: Scaling Structured Inference for Large Language Models via Meta-Reinforcement Learning
Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
Large language models increasingly require structured inference, from JSON schema enforcement to multi-lingual parsing, where outputs must satisfy complex constraints. We introduce…
Identification of Potentially Misclassified Crash Narratives using Machine Learning (ML) and Deep Learning (DL)
Sudesh Bhagat, Ibne Farabi Shihab, Jonathan Wood
This research investigates the efficacy of machine learning (ML) and deep learning (DL) methods in detecting misclassified intersection-related crashes in police-reported narrative…
Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models
Sudesh Ramesh Bhagat, Ibne Farabi Shihab, Anuj Sharma
This study investigates the relationship between deep learning (DL) model accuracy and expert agreement in classifying crash narratives. We evaluate five DL models -- including BER…