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Showing papers from New Jersey Institute of Technology Show all papers

57%Worth a look
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Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation

Yubo Huang, Zixi Wang, Yushe Cao, Jingzehua Xu and 3 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Neural Dual Bounds: Valid-by-Construction JGLP Warm-Starts for MAP and Constrained MAP

Akshay Vyas, Shivvrat Arya, Brij Malhotra, Tahrima Rahman and 2 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 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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UMAS: System-Level Uncertainty Quantification for Multi-Agent LLM Systems

Hanwen Li, Jinhao Duan, Xiaoshuang Shi, Yue Zhang and 3 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
45%Niche pick
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COSMIO: A Benchmark for Cross-Survey Modality Imputation

Dichang Zhang, Yixuan Shao, Jiali Cui, Haotian Yin and 7 more

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
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Policy Regret Minimization in Partially Observable Markov Games

Lan Sang, Raman Arora, Thanh Nguyen-Tang

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 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
89%Must read
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From Table to Cell: Attention for Better Reasoning with TABALIGN

TABALIGN improves multi-step table reasoning by pairing diffusion planners generating binary cell masks with attention verifiers, raising accuracy 15.76 points and accelerating execution 44.64%.

Tung Sum Thomas Kwok, Zeyong Zhang, Xinyu Wang, Chunhe Wang and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · 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 4/5
medium 9/10
strict 3/5
74%Highly rated
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Rep2Text: Decoding Full Text from a Single LLM Token Representation

Rep2Text recovers roughly half of tokens from single LLM representations via adapter-based decoding, showing sequence-length bottlenecks preserve semantics but reduce token recovery.

Haiyan Zhao, Zirui He, Yiming Tang, Fan Yang and 3 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 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 4/5
medium 3/10
strict 2/5
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
80%Must read
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NeuronEye: Query-Guided Visual Concept Activation for Vision-Language Reasoning

NeuronEye improves vision-language reasoning by selectively activating query-relevant sparse visual concept clusters and suppressing dominant cues during inference in frozen VLMs. It raises CV-Bench accuracy by +3.1 and BLINK Multi-view by +8.3 on Qwen2.5-VL-7B without retraining.

Ruiyu Yan, Bowen Chen, Shaowen Wan, Lin Zhao

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

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
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