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arXivVirginia Tech U Maryland, College Park Mohamed bin Zayed University of LLM evaluation & benchmarks

A Missing Piece for Trustworthy AI Reviewers: From Benchmarking Rhetorical Robustness to SciCore Review

Rhetorical robustness requires stable judgments across content-preserving rewrites and discrimination across papers; SciCore improves both via dual-branch science-core review.

Chenguang Wang, Ming Li, Chengrui Fan, Jianpeng Chen and 3 more

Published Sep 30, 2026 · 0 citations · ▲ 76 on Hugging Face

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16/20 AI panelreviewers recommend it

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lenient 5/5

medium 9/10

strict 2/5

45%Niche pick

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NeurIPS 2026Princeton Google Google research Virginia Tech Google Research Data attribution

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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NeurIPS 2026Virginia Tech Virginia Polytechnic Institute a Game playing

Counterfactual Predictive State Representations: The Intrinsic Dimension of Partial-Information Games

Manoj Saravanan, Rohit Kumar Salla, Shrikar Reddy Kota

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

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NeurIPS 2026Dartmouth College Virginia Tech New York Multi-agent LLM systems

Optimize Once, Execute Fast: Latency-Aware Multi-Agent Workflow Learning for Recurrent Queries

Enpei Zhang, Feiyu Qu, Zheng Huang, Dawei Zhou 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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NeurIPS 2026Virginia Polytechnic Institute a Virginia Tech Virginia Tech / Amazon LLM agents & planning

LLM-ACES: Closed-Loop Discovery of Dynamic Systems with LLM-Guided Adaptive Search

Nikhil Abhyankar, Sha Li, Sanchit Kabra, Naren Ramakrishnan and 2 more

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

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NeurIPS 2026Virginia Polytechnic Institute a Inha Virginia Tech Multimodal reasoning

AIM: Adaptive Interaction in Multi-Agent Debate for Multimodal LLM Inference

Wei Fan, JinYi Yoon, Bo Ji

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

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57%Worth a look

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NeurIPS 2026Virginia Tech Apple U Michigan - Ann Arbor Virginia Polytechnic Institute a The Ohio State Controllable generation

TaxaAdapter: Scaling Fine-grained Species Image Generation To the Tree of Life

Mridul Khurana, Amin Karimi Monsefi, Justin Lee, Medha Sawhney and 8 more

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

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88%Must read

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NeurIPS 2026Virginia Tech Virginia Polytechnic Institute a fal , Virginia Polytechnic Institute Video generation

VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion

VideoMLA replaces per-head video diffusion KV caches with shared low-rank latents to cut memory by 92.7% and improve long-horizon streaming quality and throughput.

Hidir Yesiltepe, Jiazhen Hu, Tuna Han Salih Meral, Adil K Akan and 3 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 24 on Hugging Face · Code ★ 18

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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 9/10

strict 2/5

76%Highly rated

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NeurIPS 2026Virginia Polytechnic Institute a Meta Virginia Tech Diffusion models

ReGDiff: Guided Diffusion in Regulated Latent Space for Exploring Metamaterial Voxel Geometry

ReGDiff couples regulated latent diffusion with repel-and-sink smoothing and short-range repulsion guidance to generate plausible, novel metamaterial voxel geometries, improving plausibility by 8.9%, novelty by 46.4%, and diversity by 128.6% over baselines.

Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou

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

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it

lenient 5/5

medium 4/10

strict 1/5

80%Must read

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NeurIPS 2026Virginia Polytechnic Institute a Virginia Tech U Illinois Urbana-Champaign Text-to-image

RAVEL: Rare Concept Generation and Editing via Graph-driven Relational Guidance

RAVEL uses graph-driven retrieval and self-correcting prompt refinement to improve rare-concept text-to-image generation and editing without training.

Kavana Venkatesh, Yusuf Dalva, Ismini Lourentzou, Pinar Yanardag

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

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it

lenient 5/5

medium 6/10

strict 1/5

91%Must read

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NeurIPS 2026Virginia Tech Virginia Polytechnic Institute a U Toronto Jailbreaks & red teaming

GitInject: Real-World Prompt Injection Attacks in AI-Powered CI/CD Pipelines

GitInject tests real AI CI/CD workflows and finds all providers vulnerable to prompt injection via structural credential and config handling flaws.

Jafar Isbarov, Umid Suleymanov, I Shumailov, Murat Kantarcioglu

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

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18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it

lenient 5/5

medium 9/10

strict 4/5

86%Must read

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NeurIPS 2026Virginia Polytechnic Institute a Virginia Tech Adversarial robustness

CASPIAN: Online Detection and Attribution of Cascade Attacks in LLM Multi-Agent Systems via Cross-Channel Causal Monitoring

CASPIAN detects cascade attacks in LLM multi-agent systems via online cross-channel causal monitoring, accurately identifying attack origins and propagation paths with sub-1% overhead.

Kavana Venkatesh, Jafar Isbarov, Saad Amin, Murat Kantarcioglu and 1 more

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

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it

lenient 4/5

medium 9/10

strict 1/5

86%Must read

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NeurIPS 2026Virginia Polytechnic Institute a U Wisconsin Madison Dartmouth College Virginia Tech LLM reasoning & chain of thought

SAGE: Mitigating Long-Horizon Reasoning Biases via Topological Guidance

SAGE mitigates long-horizon reasoning biases via symbolic closure analysis, using algebraic sparsification and hyperbolic guidance to suppress spurious branching and compounding errors, achieving up to 8-fold gains on sparse-reward benchmarks.

Xinyue Zeng, Jiawei zhang, Yujun Yan, Dawei Zhou

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face · Code