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Showing papers from Department of Computer Science, University of Oxford Show all papers

45%Niche pick
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Harnessing Data Asymmetry in Manifold Learning

Thomas Dagès, Simon Weber, Daniel Cremers, Ron Kimmel

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 0 of 20 reviewers recommend it
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medium 0/10
strict 0/5
57%Worth a look
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Learning Transferable Representations from Operating System Entities via Provenance Graph Distillation

Tristan Bilot, Xueyuan Han, Thomas Pasquier

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · 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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We Need to Improve Benchmarks in AI for Mathematics

Simon Frieder, Jonas Bayer, Shi Zhuo Looi, Jacob Loader and 14 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · 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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Online Learning of Group-Stable Coalition Structures

Saar Cohen, Michael Wooldridge

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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FraudBench: A Legal Evaluation of AI Deception on Realistic Tasks

Kevin Wei, Sumaya N Adan, Stephan Llerena, Mark L Gitau and 16 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 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
78%Highly rated
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Less Language, More Latents: Annotation-Efficient VLAs for Driving

LADA trains vision-language-action models using under 5% language annotations via latent action codebooks, achieving 87.98 driving scores on Bench2Drive.

Alexey Zakharov, Kemal Oksuz, Puneet Dokania

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · 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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Social Choice Foundations for Simulation-Augmented Generation

SAGE formalizes efficient inference-time viewpoint simulation via metric proportional justified representation, proving small simulated pools and dynamic routing preserve approximate proportional representation for contentious queries.

Sonja Kraiczy, Smitha Milli, Ratip Emin Berker, Avinandan Bose and 5 more

Sydney Poster Session 5, Thu, Dec 10, 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 5/5
medium 6/10
strict 1/5
76%Highly rated
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CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves

CurveBench introduces a 756-image benchmark for hierarchical containment reasoning over nested Jordan curves, showing top models achieve only 19% accuracy on hard cases.

Amirreza Mohseni, Mona Mohammadi, Morteza Saghafian, Naser Talebizadeh Sardari

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026 · ▲ 8 on Hugging Face · Code ★ 1

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 2/5
70%Highly rated
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RelAgent: LLM Agents as Data Scientists for Relational Learning

RelAgent is an LLM agent that builds SQL feature queries and selects predictive models for relational learning, yielding fast, interpretable predictions deployable via standard databases.

Xingyue Huang, Louis Tichelman, Jinwoo Kim, Krzysztof Olejniczak 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: 5 of 20 reviewers recommend it
lenient 4/5
medium 1/10
strict 0/5
91%Must read
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The Attacker in the Mirror: Breaking Self-Consistency in Safety via Anchored Bipolicy Self-Play

Anchored Bipolicy Self-Play uses frozen-base LoRA adapters to separate attacker and defender roles, preventing self-consistency collapse and improving safety with 100x greater parameter efficiency.

Gabriele La Malfa, Emanuele La Malfa, Saar Cohen, Jie Zhang and 3 more

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

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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 2/5