3 papers
cs.CL2026
Query Disambiguation via Answer-Free Context: Doubling Performance on Humanity's Last Exam
Michael Majurski, Cynthia Matuszek
How carefully and unambiguously a question is phrased has a profound impact on the quality of the response, for Language Models (LMs) as well as people. While model capabilities co…
cs.AI2025
Grounding Synthetic Data Evaluations of Language Models in Unsupervised Document Corpora
Michael Majurski, Cynthia Matuszek
Language Models (LMs) continue to advance, improving response quality and coherence. Given Internet-scale training datasets, LMs have likely encountered much of what users may ask…
cs.CV2024
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning
Michael Majurski, Sumeet Menon, Parniyan Farvardin +1
Discriminative deep learning models with a linear+softmax final layer have a problem: the latent space only predicts the conditional probabilities but not the full joint d…