SignRot: LLM Quantization with Massive Outlier-Aware Sign-Adjusted Rotation

Jaehun Gim, Jaewoo Kim, Gyuwan Kim, Seo Yeon Park

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

TokenSwap: Benchmarking and Reducing the Modality Gap in Multimodal LLMs

TokenSwap benchmarks and reduces MLLMs' modality gap by interleaving visual tokens with text, finding reasoning models have smaller gaps and training with TokenSwap mitigates it.

Andong Hua, Colton Bishop, Igor Mordatch, Arian Hosseini and 4 more

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

Dual Dimensionality for Local and Global Attention

Distance-Adaptive Representation uses high-dimensional local and low-dimensional distant keys and values to cut KV cache size while matching full-dimensional baseline performance.

Zhiyuan Wang, Xuan Luo, Sirui Zeng, Xifeng Yan

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

SimSD: Simple Speculative Decoding in Diffusion Language Models

SimSD proposes a plug-and-play masking strategy that enables token-level speculative decoding in diffusion language models, achieving up to 7.46x faster throughput without training.

Junxia Cui, Haotian Ye, Runchu Tian, Hongcan Guo and 8 more

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

Revealing the Gap in Human and VLM Scene Perception through Counterfactual Semantic Saliency

Counterfactual Semantic Saliency reveals VLMs diverge from human scene perception via size, center, and saliency biases while underweighting people.

Ziqi Wen, Parsa Madinei, Miguel Eckstein

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