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AI-Assisted Classification under Correlation Neglect and Trust

Saurabh Amin, Amine Bennouna, Daniel Huttenlocher, Dingwen Kong and 2 more

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

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Near-optimal Explainable $k$-means Clustering under $\ell_p$ Norm

Xinyuan Cao, Konstantin Makarychev, Ilias Papanikolaou, Liren Shan

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

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TritonTune: LLM-Guided Multi-Agent Optimization of GPU Kernel Configurations

Shukai Duan, Mihai Capotă, Guixiang Ma, Hou-Jen Ko and 4 more

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

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VLS: A Vision-Language-Shape Model for Open-Vocabulary Partonomic 3D Reconstruction

Xiaoqian Ruan, Pei Yu, Dian Jia, Hyeonjeong Park and 2 more

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

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The Type Theory of Stationary MDPs: Rare Events and Uncertainty Quantification

Imon Banerjee, Sayak Chakrabarty, Ramkrishna Jyoti Samanta, Riddhiman Bhattacharya

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Beyond the Trial-and-Error Loop: Hybrid Projection and Automated Tuning for Distributed Training

Anshu Raina, Peyman Razaghi, Yuankai Chen, Cheng Yao and 6 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Harder the Task, Sparser the Representation: Sparsity as a Learning Signature of Capability in LLMs

Mingyu Jin, Yutong Yin, Jingcheng Niu, Qingcheng Zeng and 7 more

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

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Axiomatic World Modeling for Physics Reasoning

Xinye Yang, Zhenyang Liu, Yuxuan Wang, Yuanyuan Lei

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

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Crosscoding Through Time: Sparse Feature Discovery Across Sequence Positions

Dmitry Manning-Coe, Han Xuanyuan, Aniket Deshpande, Andrii Shportko 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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67%Highly rated
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Is Decentralized LLM Agent RL Robust to Heterogeneity? An Asymmetric Tale

Canyu Chen, Kangyu Zhu, Zhaorun Chen, Zhanhui Zhou and 5 more

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

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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
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Cauchy Scientific Networks: Loss–Architecture Alignment and Its Limit

Haonan Tan, Xin Li, juyi peng, Zhihong Xia and 2 more

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

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SMI: Semantic Medical ID for Hierarchy-Aware Concept Representation

Ziyang Song, Lia Shen, Yixuan Li, Qincheng Lu and 5 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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The Panel Complexity of Sortition: Is 12 Angry Men Enough?

Johannes Brustle, Simone Fioravanti, Tomasz Ponitka, Jeremy Vollen

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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On Differential Private $\ell_1$, $\ell_2$ and $\ell_p^p$ Distance Queries

Erzhi Liu, Jerry Yao-Chieh Hu, Alex Reneau, Zhao Song 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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Stop Mechanizing Reform Heuristics as Scientific Quality Filters in AI Review

Jessica Hullman

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

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Rate-Constrained Edge Metadata for Sender–Receiver Generative Video Super-Resolution

Jiaqi Guo, Mingzhen Li, Haohong Wang, Aggelos Katsaggelos

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

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D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform

Jieke Wu, Qijie Zhu, Weimin Wu, Zeqi Ye 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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Variance-Optimal State Resampling for Reinforcement Learning with Verifiable Rewards

Yibo Wang, Yuanxin Liu, Zhaoran Wang

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Attention Drift: What Auto-Regressive Speculative Decoding Models Learn

Doğaç Eldenk, Payal Mohapatra, Yigitcan Comlek, Kaan Oktay 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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89%Must read
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ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization

ReLoop combines structured generation and behavioral verification to eliminate silent optimization formulation errors, reaching 100% executable code and improving accuracy across benchmarks.

Junbo Jacob Lian, Yujun Sun, Huiling Chen, Chaoyu Zhang and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 118

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
78%Highly rated
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DiffATS: Diffusion in Aligned Tensor Space

DiffATS uses orthogonal Procrustes-aligned Tucker primitives to enable direct diffusion modeling of high-resolution spatiotemporal fields, achieving 3.9x to 210x compression without pretrained autoencoders.

Jinhua Lyu, Tianmin Yu, Brian Kim, Lizhuo Zhou and 2 more

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

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 2/5
78%Highly rated
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RAPTOR: Ridge-Adaptive Logistic Probes

RAPTOR is a ridge-regularized logistic probe that uses validation-tuned L2 penalties to extract accurate, stable concept vectors with low training cost for activation steering. It matches or exceeds baseline accuracy and stability across instruction-tuned LLMs, with theoretical analysis via CGMT exp

Ziqi Gao, Yaotian Zhu, Qingcheng Zeng, Xu Zhao and 3 more

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

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
83%Must read
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Toward a Unified Statistical Theory of Unsupervised Pretraining and Supervised Neural Knowledge Graph Learning

A unified framework combines unsupervised pretraining and supervised neural knowledge graph learning, with a nonasymptotic risk bound showing unlabeled data reduces downstream prediction error.

Suqi Liu, Miklos Z. Racz, Jifan Zhang

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

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5
71%Highly rated
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GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures

GraDE uses a graph diffusion estimator to score subgraph typicality and discovers large-scale neural architecture motifs with up to 30x higher median frequency than sampling methods.

Yikang Yang, Zhengxin Yang, Minghao Luo, Luzhou Peng and 4 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: 7 of 20 reviewers recommend it
lenient 3/5
medium 4/10
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83%Must read
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Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators

Live Music Diffusion Models modify diffusion inference with block-wise KV caching to surpass discrete autoregressive efficiency, enabling stable alignment via ARC-Forcing and real-time interactive generation on consumer hardware.

Zachary Novack, Stephen Brade, Haven Kim, Hugo Flores and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 50

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
88%Must read
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TEMPO: Temporal Enforcement via Mode-Separated Policy Optimization for Trustworthy LLM Backtesting

TEMPO trains LLMs via mode-separated reinforcement learning to eliminate post-cutoff knowledge leakage in temporal backtesting, cutting leakage to 0.6-3.7% while improving task performance up to 13%.

Zeyu Zhang, Bradly Stadie

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

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5
70%Highly rated
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A Theory on Flow Matching with Neural Networks

Flow matching with over-parameterized 2-layer ReLU networks achieves convergence, generalization, and sample-generation Wasserstein guarantees via multi-task representation bounds.

Yihan He, Qishuo Yin, Yuan Cao, Jianqing Fan and 1 more

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

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AI panel: 5 of 20 reviewers recommend it
lenient 2/5
medium 2/10
strict 1/5
78%Highly rated
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Learning Evidence Highlighting for Frozen LLMs

HiLight trains a lightweight actor via reinforcement learning to insert highlight tags around pivotal evidence spans in frozen LLM contexts, boosting reasoning without altering inputs or requiring evidence labels.

Shaoang Li, Yanhang Shi, Yufei Li, Mingfu Liang and 9 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 5 on Hugging Face

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
74%Highly rated
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Population-Aligned Persona Generation for LLM-based Social Simulation

A framework generates population-aligned personas from social media via quality filtering, importance sampling, and task-specific adaptation, reducing bias in LLM social simulations.

Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Max Xiong and 9 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 5/5
medium 4/10
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80%Must read
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Truthful Calibration Errors for Multi-Class Prediction

The paper defines truthful multiclass calibration errors for linear label properties, proves they preserve Blackwell informativeness ordering, and show they stabilize model rankings across bin choices.

Yuxuan Lu, Yifan Wu, Jason Hartline, Lunjia Hu

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 4/5
medium 7/10
strict 1/5
78%Highly rated
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Attention Sinks and Outliers in Attention Residuals

OASIS stabilizes dual-normalized attention-residual architectures via null routing and token-to-depth null coupling, reducing activation outliers by 81.75% and improving low-bit quantized reasoning by 42.11%.

Haozheng Luo, Haoran Dai, Shaoyang Zhang, Xi Chen and 9 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 3

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AI panel: 11 of 20 reviewers recommend it
lenient 1/5
medium 8/10
strict 2/5
71%Highly rated
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Model-based Bootstrap of Controlled Markov Chains

A model-based bootstrap for controlled Markov chain transitions yields consistent estimators and valid confidence intervals for offline policy evaluation and optimal recovery.

Ziwei Su, Imon Banerjee, Diego Klabjan

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

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AI panel: 7 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 0/5
86%Must read
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Cat-DPO: Category-Adaptive Safety Alignment

Cat-DPO applies per-category adaptive safety margins to direct preference optimization, improving aggregate safety and reducing worst-category harm gaps across models.

Tiankai Yang, Yi Nian, Xinyuan Li, Ruiyao Xu and 5 more

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

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
88%Must read
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Bridging Modalities, Spanning Time: Structured Memory for Ultra-Long Agentic Video Reasoning

MAGIC-Video unifies episodic, semantic, and visual content via a multimodal memory graph and narrative chain for agentic ultra-long video reasoning, outperforming prior agentic systems by up to 10.1 points.

Jiazheng Li, Chi-Hao Wu, Yunze Liu, Kaize Ding and 2 more

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

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5
92%Must read
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MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers

MCP-Atlas benchmarks LLM tool-use on 1,000 real-server tasks, finding frontier models reach 82.2% pass rates but 63.3% of failures are cognitive.

Chaithanya Bandi, Razvan Dumitru, Ben Hertzberg, Divyansh Agarwal and 15 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

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AI panel: 19 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 5/5