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Showing papers from Argonne National Laboratory Show all papers

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NeurIPS 2026U Wisconsin—MadisonU Wisconsin - MadisonUW-MadisonArgonne National LaboratoryU Wisconsin-MadisonLLM agents & planning

Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents

RL post-training yields progress advantage, a log-ratio that recovers optimal step-level advantage without dedicated reward models, outperforming trained alternatives across agent benchmarks.

Changdae Oh, Wendi Li, Seongheon Park, Samuel (Min-Hsuan) Yeh and 2 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 13 on Hugging Face · Code ★ 12

100% Readers1 of 1 upvoted
18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 3/5
45%Niche pick
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NeurIPS 2026EmoryArgonne National LaboratoryGraphs & LLMs

CONSTRAINER: Promptable Graph-Structured Optimization via Constraint Conditioning

Zeeshan Memon, Mingke Tian, Xinyuan Song, Hongwei Jin and 2 more

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

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45%Niche pick
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NeurIPS 2026U FloridaU OklahomaOak Ridge National LaboratoryArgonne National LaboratoryUnited States Military AcademyMulti-agent LLM systems

Unified Resource-Grounded Coordination Protocol for Orchestrator-Free Heterogeneous Multi-Agent Systems

Vishal Pramanik, Maisha Maliha, Olivera Kotevska, Arvind Ramanathan 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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57%Worth a look
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NeurIPS 2026State University of New York at Stony BrookArgonne National LaboratoryAcademic medical center at StateU UtahDiffusion models

BigCell: Generating Gigapixel Whole-Slide Images

Srikar Yellapragada, Alexandros Graikos, Zilinghan Li, Kostas Triaridis and 9 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 Texas at ArlingtonThe University of Texas at ArlinCarnegie MellonU Texas at DallasU Georgia3D vision & reconstruction

Towards Matrix-Parallel and Feature-Scalable 3D Gaussian Splatting Rendering on GPUs

Yangming Zhang, Siyi Wu, Jian Wang, Bingzhe Li and 4 more

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

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83%Must read
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NeurIPS 2026Argonne National LabArgonne Leadership Computing FacOregon StateArgonne National LaboratoryArgonne Leadership Computing FacMulti-agent LLM systems

Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning

Mathematical reviewer precision does not ensure critique uptake in multi-agent reasoning, and peer discussion outperforms hierarchical reviewer pipelines on hard problems despite lower reviewer accuracy.

Chih-Hsuan Yang, Jingyan Jiang, Vikram Vasudevan, Cheng-Hau Yang and 7 more

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

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
74%Highly rated
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NeurIPS 2026Duke University, DukeCapitalOneArgonne National LaboratoryDukeLLM pretraining & scaling laws

Swimba: Switch Mamba Model Scales State Space Models

Swimba routes expert SSM streams via parameter-space MoE to scale selective state space model capacity without increasing recurrent state update costs. Under matched FLOPs, it achieves slightly better average performance with minor latency and throughput trade-offs.

Zhixu Du, Krishna Teja Chitty-Venkata, Murali Emani, Venkatram Vishwanath and 2 more

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

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 1/5