Good Papers

Showing papers from West Virginia University Show all papers

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When Medical VLMs Stop Understanding: MedTEC-Bench for Probing Semantic Specificity

Ahsan H Akash, Alina Devkota, Donald A Adjeroh, Binod Bhattarai 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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2/20 AI panelreviewers recommend it

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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K-PWM: Control-Oriented Structured World Models under Partial Observation

Santosh M Rajkumar, Sriram Narayanan, Samuel E Otto, Debdipta Goswami

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

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1/20 AI panelreviewers recommend it

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
91%Must read
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AgentKVShift: Efficient KV Cache Reuse for Agentic Memory Systems

AgentKVShift uses probe-guided KV residual correction to reuse agentic memory caches with near-full accuracy at 10-30% recompute, yielding 2-3.5x prefill speedups.

Nilesh Pandey, Jason Kong, Lanxiang Hu, Quanling Zhao and 4 more

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

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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 3/5
76%Highly rated
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Two is better than one: A Collapse-free Multi-Reward RLIF Training Framework

A multi-reward RLIF framework combining cluster-voting and self-certainty rewards with GDPO normalization and KL-Cov regularization prevents collapse and matches supervised RLVR performance.

Shourov Joarder, Diganta Sikdar, Ahsan H Akash, Binod Bhattarai and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 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 4/5
medium 6/10
strict 0/5
71%Highly rated
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BSTabDiff: Block-Subunit Diffusion Priors for High-Dimensional Tabular Data Generation

BSTabDiff partitions high-dimensional tabular features into latent blocks with shared subunits to learn global dependencies in compact space, enabling stable synthesis of realistic HDLSS data with copula-driven dependence and explicit missingness.

Al Zadid Sultan Bin Habib, Md Younus Ahamed, Prashnna K Gyawali, Gianfranco Doretto and 1 more

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

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6/20 AI panelreviewers recommend it

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AI panel: 6 of 20 reviewers recommend it
lenient 5/5
medium 1/10
strict 0/5