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Showing papers from The University of Manchester Show all papers

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NeurIPS 2026The University of ManchesterU ManchesterGenomics & single-cell

Benchmarks Design under Data Scarcity: From Coarse Labels to Diagnostic Evaluation of Biosynthetic Gene Cluster Models

Hanlin Xiao, Eriko Takano, Mauricio A Álvarez, Rainer Breitling

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

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45%Niche pick
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NeurIPS 2026The University of ManchesterU ManchesterGANs & VAEs

Inter-domain Inference for Gaussian Process Variational Autoencoders

Xinxing Shi, Xiaoyu Jiang, Mauricio A Álvarez

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

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NeurIPS 2026HohaiNanjing University of Science anThe University of ManchesterGuangdong OPPO Mobile TelecommunThe Hong Kong University of ScieLLM agents & planning

A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression

TACO is a training-free framework that learns adaptive compression rules from terminal agent trajectories to filter noisy observations, improving accuracy by 1-4% and reducing token usage across benchmarks.

JinCheng Ren, Siwei Wu, Yizhi Li, Zhu and 9 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 24 on Hugging Face · Code ★ 47

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
83%Must read
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NeurIPS 2026The University of ManchesterU Edinburgh, University of EdinbU Manchester, University of MancU Southern CaliforniaUT AustinAgent memory

TrajWiki: Source-Grounded Memory Trajectories for Long-Horizon Dialogue Agents

TrajWiki represents memory as source-grounded evolution trajectories with claim-level updates and a wiki layer to improve long-horizon dialogue performance and interpretability.

Jingyu Sun, Yuyang Xue, Mingyang Li, Zhengtao Yao and 8 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5