Depth through Recurrence: Towards Ultra-Efficient On-Device ASR

Chen Feng, Tianyi Xu, Yicheng Lin, Jay Zhuo and 4 more

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

Phase Space Attention: A Hairer Lift Resolves the Single-Layer Induction Obstruction

Kingsuk Maitra, Shagun Sood, Morteza Hosseini, Suman Gunnala and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

FlashControl: One-Step Controllable Generator via Distillation-Friendly Single-Stream Teachers.

Ngan Nguyen, Dung Nguyen, Quan Dao, Dimitris Metaxas and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

UltraFlash: Accelerating Megapixel Visual Synthesis

Phuc Lai, Anh Nguyen, Phong H Nguyen, Anh Tran

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

ArtCrafter: Feed-Forward Generation of Articulated 3D Object with Analytic Joint Derivation

Minh Tu, Quang-Binh Nguyen, Khoi Nguyen

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Alleviating Hallucination with Training-Free Uncertainty-Guided Steering

Litian Liu, Yubing Jian, Qiqi Hou, Reza Pourreza and 4 more

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

Mix-Opt: Mixed Optimization for Memory-Efficient Personalization of Text-to-Image Diffusion Models

Seokeon Choi, Sunghyun Park, Hyoungwoo Park, Jeongho Kim and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Reasoning as Compression: Unifying Budget Forcing via the Conditional Information Bottleneck

Conditional Information Bottleneck frames reasoning as lossy compression with a semantic surprisal prior, improving LLM reasoning efficiency with minimal accuracy loss.

Fabio Valerio Massoli, Andrey Kuzmin, Arash Behboodi

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 23 on Hugging Face

Leech Lattice Vector Quantization for Efficient LLM Compression

Leech lattice vector quantization enables efficient LLM compression via structured high-dimensional packing, achieving state-of-the-art post-training quantization without rotation preprocessing.

Tycho F van der Ouderaa, Mart van Baalen, Paul Whatmough, Markus Nagel

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving

MAPLE trains vision-language-action driving models via latent multi-agent rollout and reinforcement learning, achieving state-of-the-art closed-loop performance without external simulators.

Rajeev Yasarla, Deepti Hegde, Hsin-Pai Cheng, Shizhong Han and 8 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Generative Scenario Rollouts for End-to-End Autonomous Driving

GeRo enables vision-language-action models to generate language-grounded future traffic scenes via autoregressive rollouts, improving Bench2Drive driving scores by 15.7 and success rates by 26.2.

Rajeev Yasarla, Deepti Hegde, Shizhong Han, Hsin-Pai Cheng and 10 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning

Low-rank adaptation regularizes critic learning by constraining updates to low-dimensional subspaces via frozen base weights, reducing loss and improving off-policy RL performance.

Yuan Zhuang, Yuexin Bian, Sihong He, Jie Feng and 6 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026