Good Papers

Showing papers from University of Glasgow Show all papers

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NeurIPS 2026U CambridgeU GlasgowRadboud University NijmegenLLM pretraining & scaling laws

Towards Closing the Autoregressive Gap in Language Modeling via Entropy-Gated Continuous Bitstream Diffusion

Georgios Batzolis, Mark Girolami, Luca Ambrogioni

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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medium 0/10
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57%Worth a look
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NeurIPS 2026U SydneyU Sydney, University of SydneyShandong Medical and PharmaceutiU GlasgowThe University of AdelaideClinical NLP & EHR

MedHEB: Benchmarking Medical Embeddings Across Heterogeneous Clinical Evidence

Yingshu Li, Shaoyang Zhou, Zhanyu Wang, YUNYI LIU and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026WestlakeUniforce AIZhejiangU GlasgowAgent benchmarks & environments

Evaluating Physical Reasoning in LLM Agents Requires Construction Benchmarks

Wenhao Deng, Tian Xia, Yuru Jiang, Joemon M Jose and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026U CambridgeU GlasgowFlow matching

Compatible Likelihoods for Flow Matching on Manifolds

Lucas Ng, Georgios Batzolis, Mark Girolami

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
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74%Highly rated
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NeurIPS 2026U Glasgow, NCSR DemokritosU GlasgowNCSR-DemokritosExplainable AI

FrED: External Data Influence Estimation via Domain Knowledge Graph Grounding

FrED uses knowledge graphs with black-box similarities to attribute generative model outputs to specific training data, improving artistic and weather forecast localization without model access.

Theodoros Aivalis, Iraklis A Klampanos, Antonis Troumpoukis, Joemon M Jose

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5
78%Highly rated
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NeurIPS 2026U BirminghamU GlasgowBirminghamPhysics-informed ML & PDEs

Unsupervised Physics Informed Decomposition of Incomplete Time-Resolved Spectroscopy

A VAE decomposes incomplete time-resolved Raman spectra into Raman signals, autofluorescence, and noise, outperforming prior methods on simulated and real data.

Tom Muir, Qifeng Liu, Mohammadrahim Kazemzadeh, William Mills and 3 more

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

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5