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Showing papers from University of Texas, Austin Show all papers

45%Niche pick
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Recreating Video Arenas via Automated Preference Scoring

Yue Zhao, Aniket Gupta, Juze Zhang, Tiange Xiang and 4 more

Atlanta Poster Session 2, Wed, Dec 9, 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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Hear, Localize, and Reason: Spatially Aware Scene Understanding for Audio-visual LLMs

Sung-Bin Kim, Lee Jung-Mok, Jinwoo Jung, Oh Hyun-Bin and 3 more

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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FacEDiT: Talking Head Video Editing via Facial Motion Infilling

Sung-Bin Kim, Joohyun Chang, David Harwath, Tae-Hyun Oh

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · 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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Anchored Protein Engineering

Chi Zhang, Maria Rosaria Briglia, Litu Rout, Jeffrey Ouyang-Zhang and 4 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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LIPAR: Latent Inter-Frame Pruning with Attention Recovery

Dennis Y Menn, Yuedong Yang, Bokun Wang, Xiwen Wei and 5 more

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
74%Highly rated
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Structured Masked Diffusion for Joint Multiuser Decoding

CIDER is a masked-diffusion multiuser decoder using demixing and parity-aware propagation to outperform joint belief propagation by 6-100x in speed with matching error rates.

Taekyun Lee, Jiyoung Yun, Jeffrey Andrews, Hyeji Kim

Atlanta Poster Session 1, Wed, Dec 9, 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 6/10
strict 0/5
86%Must read
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TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning

Terminator learns optimal early-exit points for chain-of-thought reasoning to cut token lengths by 14%-55% and boost inference speed over 2x with minimal accuracy loss.

Alliot Nagle, Jakhongir Saydaliev, Dhia Garbaya, Michael Gastpar and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 19 on Hugging Face

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
72%Highly rated
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DarkVGGT: Seeing Through Darkness Using Thermal Geometry without Daylight Tax

DarkVGGT uses physics-aware thermal modeling and geometry-shared routing to boost feed-forward 3D reconstruction in darkness without impairing daylight performance.

Minseong Kweon, Wenyuan Zhao, Nuo Chen, Lulin Liu and 5 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 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
76%Highly rated
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TIDE: Every Layer Knows the Token Beneath the Context

TIDE injects token identity into every layer via EmbeddingMemory to fix rare-token undertraining and contextual collapse, improving language modeling and downstream performance.

AJAY JAISWAL, Lauren Hannah, Han-Byul Kim, Duc Hoang and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 9 on Hugging Face

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 0/5
78%Highly rated
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Interleaved Head Attention

Interleaved Head Attention mixes attention heads via pseudo-heads to enable cross-head reasoning, cutting parameters on synthetic tasks and improving retrieval and math benchmarks over standard multi-head attention.

Sai Surya Duvvuri, Chanakya Ekbote, Rachit Bansal, Rishabh Tiwari and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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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
80%Must read
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CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization

CoreQ proposes a learning-free post-training quantization framework using a geometric closed-form layer-adaptive mismatch correction coefficient and successive rounding to improve LLM quantization accuracy without hyperparameter tuning.

Seohyeon Cha, Huancheng Chen, Dongjun Kim, Haoran Zhang and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 2 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 7/10
strict 0/5
70%Highly rated
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RuleSmith: Multi-Agent LLMs for Automated Game Balancing

RuleSmith uses multi-agent LLM self-play and Bayesian optimization to automatically balance complex games and find highly balanced rule configurations.

Ziyao Zeng, Hao Wang, Chen Liu, Youheng Yao and 10 more

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

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5/20 AI panelreviewers recommend it

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