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Showing papers from Tübingen AI Center Show all papers

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ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents

ChatSOP introduces an SOP-guided MCTS framework that improves LLM dialogue agents' controllability and task success by following structured operational procedures.

Zhigen Li, Jianxiang Peng, Yanmeng Wang, Yong Cao and 12 more

Published 2025 · 3 citations

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5/20 AI panelreviewers recommend it

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AI panel: 5 of 20 reviewers recommend it
lenient 3/5
medium 2/10
strict 0/5
83%Must read
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Search at the Cost of Sampling: Nearly-Instant Latent Space Bayesian Optimization

Exploiting spherical latent geometry yields nearly closed-form Bayesian optimization with 100x speedups and matching performance in generative discovery pipelines.

Donney Fan, Colin Doumont, Aleksandra Kalisz, Paul Duckworth and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
78%Highly rated
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Reaching a Consensus in Predictive Loops

A minimal model of co-evolving predictions and opinions reveals predictive systems can drive network consensus despite conditions yielding disagreement in classical dynamics.

Jiduan Wu, Rediet Abebe, Celestine Mendler-Dünner

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

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
80%Must read
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Conditioning Gaussian Processes on Almost Anything

Gaussian processes are recast as linear diffusion models to enable conditioning on arbitrary likelihoods, including language and physics, via ODE sampling without bespoke derivations.

Henry Moss, Lachlan Astfalck, Tom Cowperthwaite, Colin Doumont and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 2/5