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barthelomew

Karma
229
Created
6 years ago

About

ML research; debargha@case.edu

Recent Submissions

  1. 1. Toward Guarantees for Clinical Reasoning in Vision Language Models (arxiv.org)
  2. 2. SoTA LLM Guardrails by Trusting the Typical [ICLR 2026] (arxiv.org)
  3. 3. Predict your distributed LLM training time before you burn GPU hours (github.com)
  4. 4. Uncertainty Quantification for Auto Formalization [NeurIPS 2025] (github.com)
  5. 5. Race optimization algorithms with good initializations (beat them with bonuses) (debargha.com)
  6. 6. ProofOfThought: LLM-based reasoning using Z3 theorem proving (github.com)
  7. 7. A Deep Research Agent for Curating Vision Datasets (arxiv.org)
  8. 8. Provably guarantee correctness of (some of) your LLM outputs (aws.amazon.com)
  9. 9. K^4: Online Log Anomaly Detection via Unsupervised Typicality Learning (arxiv.org)
  10. 10. Grammars of Formal Uncertainty (arxiv.org)

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