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Showing papers from University of Illinois Urbana Champaign Show all papers

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NeurIPS 2026U Illinois Urbana ChampaignU Illinois at Urbana-ChampaignU Illinois Urbana-ChampaignUIUCOptimization

GEAR: A GPU-Accelerated Global Solver for Nonlinear Programs via Linear Bound Propagation

Duo Zhou, Hesun Chen, Xiangru Zhong, Grani A. Hanasusanto and 1 more

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

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57%Worth a look
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NeurIPS 2026U Illinois Urbana ChampaignU Illinois at Urbana-ChampaignU Illinois Urbana-ChampaignUIUCInstruction tuning

SAFTAC: Simulation-Augmented Fine-Tuning of Open-Source LLMs for Analog Circuit Design

Junsheng Huang, Yifan Sun, Zhuoer Zhang, Ning Wei and 6 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · 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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NeurIPS 2026U Illinois at Urbana ChampaignU Illinois Champaign-UrbanaStanfordU Illinois at Urbana-ChampaignU Illinois Urbana ChampaignTest-time compute

Training Agent to Scale Inference-Time Reasoning

Yunzhe Qi, Sirui Chen, Jiaru Zou, Yanjun Zhao 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: 1 of 20 reviewers recommend it
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medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026U Illinois Urbana ChampaignU Illinois at Urbana-ChampaignUIUCSouthern Illinois University-CarIndian Institute of Technology, Adversarial robustness

Independent Latents, Robust Neural Operators

Jay Yoo, Kazuma Kobayashi, Jaewan Park, Sai puppala 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 Illinois at Urbana-ChampaignDepartment of Computer Science, U Illinois Urbana-ChampaignUIUCU Illinois Urbana ChampaignTool use & function calling

Advancing Affordance-Grounded Creative Tool Use in Large Multimodal Models

Cheng Qian, Hyeonjeong Ha, Jiayu Liu, Jeonghwan Kim and 8 more

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

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88%Must read
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NeurIPS 2026U Illinois at Urbana-ChampaignU Illinois Urbana-ChampaignU Illinois Urbana ChampaignUIUCNVIDIALLM pretraining & scaling laws

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling

LangFlow closes the continuous-discrete language-modeling gap via flow matching and a learnable noise schedule, matching discrete diffusion perplexity and exceeding autoregressive zero-shot results on four benchmarks.

Yuxin Chen, Chumeng Liang, Hangke Sui, Ruihan Guo and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 15 on Hugging Face · Code ★ 96

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AI panel: 15 of 20 reviewers recommend it
lenient 3/5
medium 10/10
strict 2/5
78%Highly rated
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NeurIPS 2026U Illinois Urbana ChampaignDepartment of Computer Science, MetaFacebookUIUCRL for LLMs

MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited Labels

MemReward propagates rewards through a heterogeneous rollout graph to enable LLM reinforcement learning using only 20% ground-truth labels and achieves over 96% of oracle performance.

Tianyang Luo, Tao Feng, Zhigang Hua, Yan Xie 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: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
80%Must read
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NeurIPS 2026U Illinois at Urbana-ChampaignU Illinois Urbana ChampaignPhysics-informed ML & PDEs

Physics Unrolled Neural Operator for Wireless Field Modeling

PU-HNO predicts high-fidelity indoor radio maps from low-fidelity ray-tracing outputs via a three-stage physics-unrolled cascade that captures reflection, diffraction, and scattering effects, outperforming training labels and baselines.

Rafid Umayer Murshed, Saif U Rahman, Mingyue Tang, Elahe Soltanaghai

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 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