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arXivGeorgia Institute of TechnologyZhejiangU British ColumbiaAlignment & preference optimization

Persona Dosing: Calibrated Activation Steering for Graded Trait Control

PersonaDose calibrates activation-steering controllers to control language-model persona traits by requested intensity, reducing targeting errors to 4.7-6.2 points across models.

Zehao Jin, Junran Wang, Ruixuan Deng, Jiahao Chen and 3 more

Published Sep 28, 2026 · 0 citations · ▲ 54 on Hugging Face

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medium 4/10
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NeurIPS 2026U British ColumbiaU CambridgeDiffusion models

PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers

Eshed Gal, Moshe Eliasof, Eldad Haber

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

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67%Highly rated
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NeurIPS 2026U British ColumbiaGoogle DeepMindLong-context modeling

Short-Context Dominance: How Much Local Context Natural Language Actually Needs?

Vala Vakilian, Zimeng Wang, Ankit Rawat, Christos Thrampoulidis

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

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lenient 1/5
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strict 1/5
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NeurIPS 2026, University of British ColumbiaU British ColumbiaActivation steering

Neural-DISCO: Source-Conditioned Counterfactual Editing of Neural Population Activity

Nico Policzer, James Ho, Joseph Soo, Xin Tang

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

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NeurIPS 2026U British ColumbiaU PittsburghBayesian & probabilistic methods

Routing as a Singular Reparameterization: A Closed-Form Pushforward Prior and Exact Bayesian Complexity in a Minimal Proxy

Ali Mehrabian, Mahdi Mazloum

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

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NeurIPS 2026U British ColumbiaZhejiangStanfordVector InstituteUBC | Vector Institute | GoogleSpeech synthesis

RVCBench: Benchmarking Robustness of Voice Cloning Across Modern Audio Generation Models

Ruinan Jin, Xinting Liao, Hanlin Yu, Deval Pandya and 1 more

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

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67%Highly rated
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NeurIPS 2026UBC | Vector Institute | GoogleU British ColumbiaGoogleGoogle DeepMindYouTubeObject detection

Beyond Real or Fake: A Dual-Channel Authenticity and Reasoning Protocol for Photographic Assessment

Xiaoxiao Li, Ruinan Jin, Lili Meng, Miaosen Wang and 2 more

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

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NeurIPS 2026U British ColumbiaU MelbourneU British Columbia + AmiiBayesian & probabilistic methods

Bet Imaginatively, not Historically in Independent-Data Sequential Testing

Nathaniel Xu, Feng Liu, Danica J. Sutherland

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

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NeurIPS 2026OralU British ColumbiaGuangdong Polytechnic NormalGriffithShenzhen Institutes of Advanced Mechanistic interpretability

IDEA: Unwrapping Visual Black-box Models by Interaction Decomposition

Chaojie Ji, Jian Xu, He Zhang, Hongyan Wu and 2 more

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

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NeurIPS 2026U British ColumbiaThe University of British ColumbFeature attribution

Causal Gradient Steering: Exposing Shortcut Gradients by Destroying Causal Signal

Ahmed Radwan, Ahmad Abdel-Qader, Mahmoud Soliman, Omar Abdelaziz and 3 more

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

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NeurIPS 2026U British ColumbiaAppGateDepartment of Computer Science, Graph neural networks

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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NeurIPS 2026The University of Texas at AustiCarletonUBC and Vector InstituteU British ColumbiaUBC / VectorVideo understanding

LookWhen? Fast Video Recognition by Learning When, Where, and What to Compute

Ali Salamatian, Anthony Fuller, Pritam Sarkar, James Green and 2 more

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

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NeurIPS 2026SpotlightThe University of Hong KongThe University of TokyoU Hong KongU British ColumbiaLLM agents & planning

RAOP: Step-Level Resource Orchestration for LLM Agents across Edge and Cloud

Jinze Li, Xin Yang, Shuo Yang, Jinfeng Xu and 1 more

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

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57%Worth a look
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NeurIPS 2026U British ColumbiaUBC | Vector Institute | GoogleLLM pretraining & scaling laws

Mitigating Memorization Where It Happens

Xuanqi Zhang, HaoYang Shang, Xiaoxiao Li

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

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medium 0/10
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NeurIPS 2026Zhejiang University, WestlakeU British ColumbiaNanjingWestlakeLLM reasoning & chain of thought

Preserving Exploration for LLM Reasoning via Mean Order-Statistic Alignment

Ruotian Peng, Yi Ren, Long-Fei Li, Yandong Wen

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

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NeurIPS 2026U British ColumbiaU California, San DiegoLearning theory

In-Context Benign Overfitting: A Feature-Selection Model in Linear Regression ICL

Puneesh Deora, Bhavya Vasudeva, Christos Thrampoulidis

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

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78%Highly rated
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NeurIPS 2026U British ColumbiaU British Columbia & SakanaAAgent memory

Learning to Continually Learn via Meta-learning Agentic Memory Designs

ALMA meta-learns executable memory designs for agentic systems, outperforming hand-crafted alternatives across sequential decision-making benchmarks.

Yiming Xiong, Shengran Hu, Jeff Clune

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 295

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
89%Must read
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NeurIPS 2026Huawei CanadaU British ColumbiaThe University of British ColumbU CambridgeFlow matching

Preconditioned Flow Matching

Ill-conditioned intermediate covariances make flow matching regress low-variance directions slowly; preconditioning into isotropic space improves optimization and generation quality.

Shadab Ahamed, Eshed Gal, Md Shahriar Rahim Siddiqui, Simon Ghyselincks and 2 more

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

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 4/5
83%Must read
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NeurIPS 2026U British ColumbiaTübingen AI CenterU OxfordInstaDeep ResearchU PennsylvaniaControllable generation

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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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
71%Highly rated
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NeurIPS 2026U TorontoU Toronto & Vector InstituteU British ColumbiaLearning theory

SGD in Multiclass Logistic Regression: Sequential Learning and Scaling Laws

Multiclass logistic regression learns Gaussian mixtures sequentially by class frequency, producing power-law risk phases and compute-optimal scaling laws.

Konstantinos Tsiolis, Denny Wu, Christos Thrampoulidis, Murat Erdogdu

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

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7/20 AI panelreviewers recommend it

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