Good Papers

Showing papers from University of Georgia Show all papers

45%Niche pick
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From Nodes to Pixels: Topological and Structural Two-View Graph Imaging

Md Joshem Uddin, Soham Changani, Sai K Navuluru, Cuneyt Akcora and 1 more

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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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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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
83%Must read
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Reinforcing Multimodal Reasoning Against Visual Degradation

ROMA improves multimodal reasoning robustness to visual corruption via dual-pass RL optimization that avoids reward poisoning while preserving clean accuracy.

Rui Liu, Dian Yu, Haolin Liu, Yucheng Shi and 4 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 5 on Hugging Face

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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 9/10
strict 0/5
72%Highly rated
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DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition

DeepArrhythmia classifies ECG arrhythmias via segment context and selective evidence routing, improving beat-level predictions with explicit physiological grounding.

Jiahui Li, Ruili Fang, Zishuai Liu, WenZhan Song and 2 more

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

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5
91%Must read
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MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence

MedVIGIL evaluates medical vision-language models under broken visual evidence via clinician-supervised probes, revealing a 14.1-point gap between top models and radiologist reliability.

Hanqi Jiang, Junhao Chen, Yi Pan, Lifeng Chen and 9 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 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 8/10
strict 4/5
71%Highly rated
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Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters

PoLAR-VBLL uses orthogonalized low-rank adapters with Bayesian last-layer inference to fine-tune LLMs with scalable, well-calibrated uncertainty quantification.

Haotian Xiang, Bingcong Li, Qin Lu

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

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6/20 AI panelreviewers recommend it

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AI panel: 6 of 20 reviewers recommend it
lenient 4/5
medium 2/10
strict 0/5
76%Highly rated
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PLATO: Pointer Learner for Agent and Task Openness

PLATO uses a pointer-network actor and GNN critic to handle open multi-agent reinforcement learning with unbounded agent and task spaces, achieving strong zero-shot generalization.

Alireza Saleh Abadi, Leen-Kiat Soh, Daniel A Redder, Adam Eck and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · 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 5/10
strict 0/5
76%Highly rated
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StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction

StraTA introduces trajectory-level strategies into agentic reinforcement learning via hierarchical rollout training, improving long-horizon decision-making and reaching 93.1% on ALFWorld.

Xiangyuan Xue, Yifan Zhou, ZiDong Wang, Shengji Tang and 4 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: 10 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 1/5
91%Must read
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Crafting Reversible SFT Behaviors in Large Language Models

LCDD constructs sparse, causally necessary subnetworks for SFT behaviors, and SFT-Eraser reverses them via activation-matched soft prompts without weight changes.

Yuping Lin, Pengfei He, Yue XING, Yingqian Cui 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
89%Must read
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A World Model of Radiologist Reading for Medical Image Representation Learning

GazeWorld models radiologist eye-tracking as fixation trajectories through images to pretrain medical representations that achieve state-of-the-art diagnostic and gaze prediction accuracy without requiring real gaze data at inference.

Yiwei Li, Zihao Wu, huaqin zhao, Yifan Zhou and 4 more

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

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
78%Highly rated
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Palette: A Modular, Controllable, and Efficient Framework for On-demand Authorized Safety Alignment Relaxation in LLMs

Palette enables modular, efficient relaxation of LLM refusal behaviors for authorized domains via lightweight adaptation and parameter merging while preserving general safety.

Qitao Tan, Xiaoying Song, Arman Akbari, Arash Akbari and 6 more

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

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
89%Must read
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ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models

ActQuant uses action-guided mixed-precision quantization to compress vision-language-action models below 4 bits, retaining 95% task performance at 3 bpw and enabling edge deployment via native C/C++ kernels.

Arash Akbari, Arman Akbari, Masih Eskandar, Qitao Tan and 10 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 2 on Hugging Face · Code ★ 19

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5