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Sample-Efficient Optimization over Generative Priors via Coarse Learnability

Pranjal Awasthi, Sreenivas Gollapudi, Ravi Kumar, Kamesh Munagala

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

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A Computational Perspective to Data Ablation Experiments

Jiachen (Tianhao) Wang, Lin Chen, Mohammadhossein Bateni, Ruoxi Jia and 2 more

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

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Programmatic Reasoning with Structural Schema: A Unified Framework for Multi-Table Inference

Jialin Chen, Brandon Mayer, Michael Galkin, Sami Abu-El-Haija 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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57%Worth a look
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A Foundational Model System for Datacenter Machine Repairs

Yuanlin Wen, Elan S Markowitz, Zubo Gu, Sami Abu-El-Haija and 10 more

Sydney Poster Session 5, Thu, Dec 10, 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
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67%Highly rated
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A Subgoal-driven RL Framework for Improving Long-Horizon Web Agents

Taiyi Wang, Sian Gooding, Florian Hartmann, Oriana Riva 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: 2 of 20 reviewers recommend it
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RL-Inf: Tracking Non-local Training Data Influence for Online Reinforcement Learning

Shixuan Liu, Cheng Tang, Yuzheng Hu, Fan Wu and 2 more

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

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SPECS: Faster Test-Time Scaling through Speculative Drafts and Dynamic Switching

Mert Cemri, Nived Rajaraman, Rishabh Tiwari, Xiaoxuan Liu and 5 more

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

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Mind the Gap: Dataset and Fine-grained Evaluation for Inline Audio Descriptions

Subhashini Venugopalan, Yingwen Tan, Taylor Roper, Jimmy Tobin and 4 more

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

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Majority-of-Three is an Optimal PAC Learner

Grigoris Velegkas

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

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SAMPPO: Structure-Aware Mirror Proximal Policy Optimization

Corinna Cortes, Mehryar Mohri, Yutao Zhong

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

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MaxIM: Maximally Informative Incremental Summarization via Reinforcement Learning

Jihwan Jeong, Guy Tennenholtz, Yinlam Chow, Chih-wei Hsu and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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We Should Distinguish Unlearning From Untraining

Eleni Triantafillou, Imtiaz Humayun, Mónica Ribero, Alexander Turner and 2 more

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

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Beyond the Full Slate: Evaluating MNL Algorithms on All Slates

Flavio Chierichetti, Mirko Giacchini, Ravi Kumar, Silvio Lattanzi and 3 more

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

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Efficient Dynamic Algorithms for Graph Neural Networks with Non-Linearity

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Mahdi JafariRaviz, Silvio Lattanzi and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Discovering Mechanistic Models of Neural Activity: System Identification in an in Silico Zebrafish

LLM-based tree search discovers predictive zebrafish neural models that outperform forecasting baselines, though structural priors are needed to prevent shortcut exploitation and ensure mechanistic recovery.

Jan-Matthis Lueckmann, Viren Jain, Michal Januszewski

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
80%Must read
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Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness

Reasoning trajectories are discrete hidden-state curves whose spectral flatness measures task hardness and whose kinematics predict correctness early.

Aria Masoomi, Mahsa Bazzaz, Adel Javanmard, Vahab Mirrokni

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
89%Must read
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How Post-Training Shapes Biological Reasoning Models

Continued pre-training aligns biological language, supervised fine-tuning improves in-domain but harms out-of-domain reasoning, and reinforcement learning recovers generalization when rewards align.

Lukas Fesser, Hanlin Zhang, Michelle M Li, Eric Wang and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 4/5
80%Must read
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OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs

OmniSpace improves autonomous vehicle MLLM spatial reasoning via camera pose injection, multi-view epipolar attention, and 3D geometric distillation without auxiliary 3D models, surpassing existing methods across planning, risk detection, and language benchmarks.

Anh Hao Vo, Phu Loc Nguyen, Khoa Vo, Sieu Tran and 6 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
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88%Must read
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Controllable User Simulation

Controllable user simulation is formalized as causal inference, proving supervised fine-tuning injects look-ahead bias causing geometric variance explosion and controllability collapse, with proposed mitigations restoring consistency and robust generalization.

Guy Tennenholtz, Ofer Meshi, Amir Globerson, Uri Shalit and 2 more

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

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 4/5
74%Highly rated
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Polynomial-Time Algorithm for Thiele Voting Rules with Voter Interval Preferences

A polynomial-time algorithm computes optimal Thiele committees for voter-interval preferences via a concavity theorem and Lagrangian relaxation.

Pasin Manurangsi, Krzysztof Sornat

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

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AI panel: 9 of 20 reviewers recommend it
lenient 1/5
medium 5/10
strict 3/5
74%Highly rated
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Learning Distributions from Multiple Data Providers

Pointwise consistency requires a connected co-occurrence graph and PAC learning needs completeness, with optimal sample complexity ranging from nearly linear to quadratic.

Jon Kleinberg, Amin Saberi, Xizhi Tan, Grigoris Velegkas

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 2/5
medium 4/10
strict 3/5
71%Highly rated
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Online Differentially Private Consistent Clustering

Differentially private online clustering transforms streams into private semi-coresets via a generic reduction, matching or improving approximation, space, and runtime while inheriting consistency from underlying non-private algorithms.

Edith Cohen, Vadym Doroshenko, Badih Ghazi, Pritish Kamath and 6 more

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

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AI panel: 6 of 20 reviewers recommend it
lenient 2/5
medium 4/10
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74%Highly rated
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A Unified Framework for Adversary-Aware Differential Privacy Bounds

A unified framework bounds DP privacy leakage against multi-target membership, attribute, and reconstruction attacks using only privacy parameters and adversarial baseline success rates.

Marika Swanberg, Meenatchi Sundaram Muthu Selva Annamalai, Jamie Hayes, Borja Balle and 1 more

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

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5
80%Must read
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Sponsored Questions and How to Auction Them

Formal model for auctioning LLM clarifying prompts compares joint VCG optimization with decoupled modular mechanisms, finding joint design achieves efficiency and truthfulness while modular approaches suffer unbounded strategic inefficiency.

Kshipra Bhawalkar, Alexandros Psomas, Di Wang

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 2/5
83%Must read
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SkillOS: Learning Skill Curation for Self-Evolving Agents

SkillOS uses RL to train a skill curator that updates an external SkillRepo from experience, improving self-evolving agents across reasoning and multi-turn tasks.

Siru Ouyang, Jun Yan, Yanfei Chen, Rujun Han and 12 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 45 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
74%Highly rated
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WAXAL: A Large-Scale Multilingual African Language Speech Corpus

WAXAL introduces an open 1,250-hour ASR and 235-hour TTS speech corpus for 24 African languages to advance inclusive speech technology.

MohamedElfatih MohamedKhair, Emmanuel Asiedu Brempong, Subhashini Venugopalan, Abdoulaye Diack and 8 more

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

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 1/5
71%Highly rated
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Density-Ratio Losses for Post-Hoc Learning to Defer

Post-hoc learning to defer is cast as density-ratio estimation between ideal distributions, yielding adjustable deferral rules that recover Chow's rule and outperform baselines.

Alexander Soen, Ragnar Thobaben, Joakim Jaldén, Richard Nock

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

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AI panel: 6 of 20 reviewers recommend it
lenient 2/5
medium 4/10
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76%Highly rated
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Pointwise Lipschitz Continuous Graph Algorithms

This paper proposes a linear programming-based minimum s-t cut algorithm with an optimal Lipschitz constant, yielding the first dynamic algorithm with non-trivial recourse and improved b-matching stability.

Quanquan C Liu, Grigoris Velegkas, Yuichi Yoshida, Felix Zhou

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 6/10
strict 1/5
71%Highly rated
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The Query Complexity of Local Search in Rounds on General Graphs

This paper bounds the query complexity of multi-round local search on general graphs, proving deterministic upper and randomized lower bounds that extend grid results to arbitrary connected graphs.

Simina Branzei, Ioannis Panageas, Dimitris Paparas

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

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AI panel: 6 of 20 reviewers recommend it
lenient 3/5
medium 2/10
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91%Must read
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DriveSpatial: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving

DriveSpatial benchmarks vision-language models' spatiotemporal autonomous driving intelligence, finding a 28.4-point human gap with cognitive scene construction as the key bottleneck.

Anh Hao Vo, Khoa Vo, Phu Loc Nguyen, Sieu Tran and 9 more

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

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 3/5
80%Must read
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Proteus: Incremental Memory Activation for Long-Context Sequence Modeling

Proteus progressively expands memory capacity during long-context modeling to reduce interference and boost retention, consistently improving state-of-the-art memory architectures.

Reza Bayat, Ali Behrouz, Vahab Mirrokni, Aaron Courville

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

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 0/5
76%Highly rated
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Geometric Inductive Biases for Semi-Supervised Equalization: The Constellation-Aware Transformer

Constellation-Aware Transformer injects geometric inductive biases into semi-supervised equalization via constellation-aware attention and FIR-inspired filtering, outperforming baselines with fewer pilots.

Avi Caciularu

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

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 0/5