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Showing papers from University of Chicago Show all papers

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arXivGeorgia Institute of TechnologyU California, Los AngelesU ChicagoMulti-agent LLM systems

Science Utopia? Closed-Loop LLM Simulation of Academic Research Ecosystems

SciUtopia is a closed-loop LLM simulation framework modeling entire academic ecosystems; it finds resubmission amplifies reviewer burden, cautious exploration balances impact and diversity, and inequality can emerge without cumulative funding advantage.

Yiqiao Jin, Yiyang Wang, Lucheng Fu, Bing He and 7 more

Published Oct 1, 2026 · 0 citations · ▲ 40 on Hugging Face · Code ★ 29

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NeurIPS 2026U ChicagoKalshiNew YorkFinance & economics

When do Prophets Profit in Prediction Markets?

Anri Gu, Nicole Kagan, Alec Sun, Jibang Wu and 1 more

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

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NeurIPS 2026UChicagoU ChicagoJohns HopkinsBrown University Meta FAIRFinance & economics

Towards Financial World Modeling

Humzah Merchant, Alec Guthrie, Simon Mahns, Randall Balestriero and 1 more

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

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67%Highly rated
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NeurIPS 2026MicrosoftAdvanced Micro DevicesU ChicagoMBZUAINVIDIAEfficient inference & serving

The $1/\mathcal{W}$ Law: Context Length is the Dominant Energy Lever in LLM Inference Fleets

Huamin Chen, Xunzhuo Liu, Yuhan Liu, Junchen Jiang and 3 more

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

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NeurIPS 2026GoogleU ChicagoGoogle DeepMindAI oversight & deception

Model Incrimination: Investigating Whether Concerning Behavior Reflects Misalignment

Gerson Kroiz, Aditya Singh, Senthooran Rajamanoharan, Neel Nanda

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

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NeurIPS 2026NvidiaU ChicagoTogether AI UChicagoUC BerkeleyAgent memory

RAG in a Trenchcoat: When Minimal Memory Is Enough for Agentic Systems, and When It Isn’t

Jingyu Liu, Zongze Li, Zach Xu, Zhanhui Zhou and 3 more

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

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NeurIPS 2026U California, Santa BarbaraU California, Santa CruzU ChicagoVirtue AI, University of California, SantDeep RL

NitroBox: Lightning-Fast Sandbox for Large-Scale RL Training

Yuzhou Nie, Ruilin Zhou, Zhaorun Chen, Jingyang Zhang and 5 more

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

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NeurIPS 2026U ChicagoZhejiangWestlakeDiffusion models

Quantifying and Optimizing Path Uncertainty in Masked Diffusion Models

Ziyu Chen, Xinbei Jiang, PENG SUN, Tao Lin

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

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NeurIPS 2026Google DeepMindImperial College LondonForward CollegeGoogleHeriotWattLLM evaluation & benchmarks

Beyond Ground Truth: Evaluating Non-Verifiable Reasoning in LLMs through Moral Robustness

Elizaveta Tennant, Benjamin Henke, Anita Keshmirian, Murray Shanahan and 4 more

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

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67%Highly rated
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NeurIPS 2026NorthwesternTiktokU ChicagoUC BerkeleyNVIDIAMulti-agent RL

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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NeurIPS 2026U ChicagoCMU, Carnegie MellonChicago Booth School of BusinessCausal inference

ML-assisted Randomization Tests for A/B Experiments

Wenxuan Guo, JungHo Lee, Panos Toulis

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

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NeurIPS 2026U ChicagoInstruction tuning

SAFE-DRIFT: Data Selection for Supervised Fine-tuning with Controllable Off-Target Drifts

Yeo Jin Jung, Yating Liu, Lalchand Pandia, Claire Donnat

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

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NeurIPS 2026U ChicagoAlignment & preference optimization

Personalized LLM Alignment Should Be Counterfactually Verifiable

Cristina Garbacea

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

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NeurIPS 2026U ChicagoU Chicago; University of CaliforU Chicago, Santa Fe Institute, GMechanistic interpretability

Introspection Tools Help LLMs Understand and Control Themselves

Xiao Liu, Junsol Kim, Shiyang Lai, Jacy Anthis and 3 more

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

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67%Highly rated
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NeurIPS 2026ColumbiaU ChicagoWashington University, Saint LouChristian-Albrechts-Universität Graph neural networks

Bias, Measurement Error, and Double-Dipping: When Can GNN Convolutions Help Brain Connectome Prediction?

Tommaso Castellani, Jiaqi Li, Muriah D Wheelock, Rezwana R Razzaque and 3 more

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

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lenient 2/5
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NeurIPS 2026Massachusetts Institute of TechnU ChicagoMechanistic interpretability

Loyalty Capture: Reporting Relationships and Structural Sycophancy in Frontier AI Models

Eric So, Alex Imas

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

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NeurIPS 2026U Michigan - Ann ArborStanford / UT-AustinOhio State University, ColumbusStanfordMassachusetts Institute of TechnLLM agents & planning

Agent-Native Research Artifacts

Jiachen Liu, Jiaxin Pei, Jintao Huang, Chenglei Si and 33 more

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

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NeurIPS 2026Zhongguancun AcademyTencent HunyuanNanjingPekingThe Hong Kong University of ScieUnified multimodal models

HYDRA: Representation Harmonized Tokenization for Multimodal Generation and Understanding

Xuerui Qiu, Yutao Cui, Guozhen Zhang, Junzhe Li and 8 more

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

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NeurIPS 2026Chonnam NationalU ChicagoPurdueBayesian & probabilistic methods

Statistical Matching via Schr\"odinger Bridge beyond Conditional Independence

Eunho Koo, Jinwon Sohn, Tongseok Lim

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

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NeurIPS 2026U ChicagoU Southern CaliforniaU California RiversideNVIDIAU TorontoLLM evaluation & benchmarks

Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?

Miaosen Chai, Wang Bill Zhu, Shangshang Wang, Yejia Liu and 4 more

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

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