ControlMM: Controllable Masked Motion Generation

ControlMM: Controllable Masked Motion Generation

14 October 2024

Ekkasit Pinyoanuntapong

Muhammad Usama Saleem

Korrawe Karunratanakul

Pu Wang

Sergey Tulyakov

Papers citing "ControlMM: Controllable Masked Motion Generation"

16 / 16 papers shown

Title
Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies Xiaoliang Luo Xinyi Xu Michael Ramscar Bradley C. Love 25 0 0 13 May 2025
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free Z. Qiu Z. Wang Bo Zheng Zeyu Huang Kaiyue Wen ... Fei Huang Suozhi Huang Dayiheng Liu Jingren Zhou Junyang Lin MoE 28 0 0 10 May 2025
When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars Rei Higuchi Ryotaro Kawata Naoki Nishikawa Kazusato Oko Shoichiro Yamaguchi Sosuke Kobayashi Seiya Tokui K. Hayashi Daisuke Okanohara Taiji Suzuki AI4CE 35 0 0 24 Apr 2025
KeepKV: Eliminating Output Perturbation in KV Cache Compression for Efficient LLMs Inference Yuxuan Tian Zihan Wang Yebo Peng Aomufei Yuan Z. Wang Bairen Yi Xin Liu Yong Cui Tong Yang 32 0 0 14 Apr 2025
Analysis of Attention in Video Diffusion Transformers Yuxin Wen Jim Wu Ajay Jain Tom Goldstein Ashwinee Panda 50 1 0 14 Apr 2025
Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models Yuheng Wu Wentao Guo Zirui Liu Heng Ji Zhaozhuo Xu Denghui Zhang 33 0 0 05 Apr 2025
Using Attention Sinks to Identify and Evaluate Dormant Heads in Pretrained LLMs Pedro Sandoval-Segura Xijun Wang Ashwinee Panda Micah Goldblum Ronen Basri Tom Goldstein David Jacobs 17 0 0 04 Apr 2025
SkyLadder: Better and Faster Pretraining via Context Window Scheduling Tongyao Zhu Qian Liu Haonan Wang Shiqi Chen Xiangming Gu Tianyu Pang Min-Yen Kan 42 0 0 19 Mar 2025
See What You Are Told: Visual Attention Sink in Large Multimodal Models Seil Kang Jinyeong Kim Junhyeok Kim Seong Jae Hwang VLM 107 6 0 05 Mar 2025
Rotary Outliers and Rotary Offset Features in Large Language Models André Jonasson 69 0 0 03 Mar 2025
Sliding Window Attention Training for Efficient Large Language Models Zichuan Fu Wentao Song Y. Wang X. Wu Yefeng Zheng Yingying Zhang Derong Xu Xuetao Wei Tong Bill Xu Xiangyu Zhao 76 1 0 26 Feb 2025
Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference WeiZhi Fei Xueyan Niu Guoqing Xie Yingqing Liu Bo Bai Wei Han 33 1 0 22 Jan 2025
Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models Zhisong Zhang Yan Wang Xinting Huang Tianqing Fang H. Zhang Chenlong Deng Shuaiyi Li Dong Yu 80 2 0 21 Dec 2024
Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps Jeeyung Kim Erfan Esmaeili Qiang Qiu DiffM 85 1 0 21 Nov 2024
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training Haonan Wang Qian Liu Chao Du Tongyao Zhu Cunxiao Du Kenji Kawaguchi Tianyu Pang 115 6 0 20 Nov 2024
Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs Tianyu Guo Druv Pai Yu Bai Jiantao Jiao Michael I. Jordan Song Mei 29 9 0 17 Oct 2024