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Showing papers from Amherst College Show all papers

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What Does an Observability Forecasting Foundation Model Know?

Dhyey Mavani, Tairan Ji, Rian Atri

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
74%Highly rated
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Lattice Deduction Transformers

Lattice Deduction Transformer approximates sound deduction via lattice-projected recurrent states, achieving near-perfect Sudoku and Maze accuracy with small parameters and abstention guarantees.

Liam Davis, Alberto Alfarano, Leopold Haller, Mark Santolucito

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

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AI panel: 9 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 1/5
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Viverra: Text-to-Code with Guarantees

Viverra generates C code with formally verified assertions via LLM synthesis and bounded model checking, improving user code comprehension.

Haoze Wu, Rocky Klopfenstein, Keith Farkas, Nina Narodytska

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 1/5