Saved in:
| Main Authors: | Deng, Yuchen, Cai, Zidang, Zheng, Hai-Tao, Wang, Jie, Yang, Feidiao, Han, Yuxing |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.12056 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Boundary Frames: Context-Centric Video Interpolation with Audio-Visual Semantics
by: Deng, Yuchen, et al.
Published: (2025)
by: Deng, Yuchen, et al.
Published: (2025)
Dynin-Omni: Omnimodal Unified Large Diffusion Language Model
by: Kim, Jaeik, et al.
Published: (2026)
by: Kim, Jaeik, et al.
Published: (2026)
OmniRefiner: Reinforcement-Guided Local Diffusion Refinement
by: Liu, Yaoli, et al.
Published: (2025)
by: Liu, Yaoli, et al.
Published: (2025)
OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models
by: Tao, Keda, et al.
Published: (2025)
by: Tao, Keda, et al.
Published: (2025)
DASH: Dynamic Audio-Driven Semantic Chunking for Efficient Omnimodal Token Compression
by: Li, Bingzhou, et al.
Published: (2026)
by: Li, Bingzhou, et al.
Published: (2026)
Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data
by: Li, Yunxin, et al.
Published: (2025)
by: Li, Yunxin, et al.
Published: (2025)
OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-Time Self-Aware Emotional Speech Synthesis
by: Luo, Run, et al.
Published: (2025)
by: Luo, Run, et al.
Published: (2025)
Demographic and Linguistic Bias Evaluation in Omnimodal Language Models
by: Elobaid, Alaa
Published: (2026)
by: Elobaid, Alaa
Published: (2026)
BackSlash: Rate Constrained Optimized Training of Large Language Models
by: Wu, Jun, et al.
Published: (2025)
by: Wu, Jun, et al.
Published: (2025)
Model Compression and Efficient Inference for Large Language Models: A Survey
by: Wang, Wenxiao, et al.
Published: (2024)
by: Wang, Wenxiao, et al.
Published: (2024)
OmniSelect: Dynamic Modality-Aware Token Compression for Efficient Omni-modal Large Language Models
by: Yang, Morunliu, et al.
Published: (2026)
by: Yang, Morunliu, et al.
Published: (2026)
Scaling Language-Centric Omnimodal Representation Learning
by: Xiao, Chenghao, et al.
Published: (2025)
by: Xiao, Chenghao, et al.
Published: (2025)
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
by: Li, Yinghui, et al.
Published: (2025)
by: Li, Yinghui, et al.
Published: (2025)
Direct Alignment of Language Models via Quality-Aware Self-Refinement
by: Yu, Runsheng, et al.
Published: (2024)
by: Yu, Runsheng, et al.
Published: (2024)
Not All Preferences Are Created Equal: Stability-Aware and Gradient-Efficient Alignment for Reasoning Models
by: Wu, Hui, et al.
Published: (2026)
by: Wu, Hui, et al.
Published: (2026)
Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation
by: Wu, Yecheng, et al.
Published: (2026)
by: Wu, Yecheng, et al.
Published: (2026)
FluentAvatar: Flicker-Free Talking-Head Animation via Phoneme-Guided Autoregressive Modeling
by: Deng, Yuchen, et al.
Published: (2025)
by: Deng, Yuchen, et al.
Published: (2025)
Multimodal Quantitative Language for Generative Recommendation
by: Zhai, Jianyang, et al.
Published: (2025)
by: Zhai, Jianyang, et al.
Published: (2025)
ChronusOmni: Improving Time Awareness of Omni Large Language Models
by: Chen, Yijing, et al.
Published: (2025)
by: Chen, Yijing, et al.
Published: (2025)
Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models
by: Zhao, Jie, et al.
Published: (2025)
by: Zhao, Jie, et al.
Published: (2025)
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
by: Liu, Xuxu, et al.
Published: (2025)
by: Liu, Xuxu, et al.
Published: (2025)
Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization
by: Oh, Yeongtak, et al.
Published: (2026)
by: Oh, Yeongtak, et al.
Published: (2026)
WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs
by: Hong, Jack, et al.
Published: (2025)
by: Hong, Jack, et al.
Published: (2025)
RoboEgo System Card: An Omnimodal Model with Native Full Duplexity
by: Yao, Yiqun, et al.
Published: (2025)
by: Yao, Yiqun, et al.
Published: (2025)
EgoMem: Lifelong Memory Agent for Full-duplex Omnimodal Models
by: Yao, Yiqun, et al.
Published: (2025)
by: Yao, Yiqun, et al.
Published: (2025)
IIMedGPT: Promoting Large Language Model Capabilities of Medical Tasks by Efficient Human Preference Alignment
by: Zhang, Yiming, et al.
Published: (2025)
by: Zhang, Yiming, et al.
Published: (2025)
FLAME: Factuality-Aware Alignment for Large Language Models
by: Lin, Sheng-Chieh, et al.
Published: (2024)
by: Lin, Sheng-Chieh, et al.
Published: (2024)
ROSAQ: Rotation-based Saliency-Aware Weight Quantization for Efficiently Compressing Large Language Models
by: Yoon, Junho, et al.
Published: (2025)
by: Yoon, Junho, et al.
Published: (2025)
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
by: Yang, Ge, et al.
Published: (2024)
by: Yang, Ge, et al.
Published: (2024)
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models
by: Wang, Weilan, et al.
Published: (2025)
by: Wang, Weilan, et al.
Published: (2025)
Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models
by: Yan, Xinru, et al.
Published: (2026)
by: Yan, Xinru, et al.
Published: (2026)
TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models
by: Guan, Tong, et al.
Published: (2025)
by: Guan, Tong, et al.
Published: (2025)
OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models
by: Ding, Yue, et al.
Published: (2026)
by: Ding, Yue, et al.
Published: (2026)
Preference Orchestrator: Prompt-Aware Multi-Objective Alignment for Large Language Models
by: Liu, Biao, et al.
Published: (2025)
by: Liu, Biao, et al.
Published: (2025)
OmniPlay: Benchmarking Omni-Modal Models on Omni-Modal Game Playing
by: Bie, Fuqing, et al.
Published: (2025)
by: Bie, Fuqing, et al.
Published: (2025)
MAR: Efficient Large Language Models via Module-aware Architecture Refinement
by: Cai, Junhong, et al.
Published: (2026)
by: Cai, Junhong, et al.
Published: (2026)
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
by: Xi, Zhiheng, et al.
Published: (2023)
by: Xi, Zhiheng, et al.
Published: (2023)
Disentangle-then-Refine: LLM-Guided Decoupling and Structure-Aware Refinement for Graph Contrastive Learning
by: Li, Zhaoxing, et al.
Published: (2026)
by: Li, Zhaoxing, et al.
Published: (2026)
R-Capsule: Compressing High-Level Plans for Efficient Large Language Model Reasoning
by: Shan, Hongyu, et al.
Published: (2025)
by: Shan, Hongyu, et al.
Published: (2025)
ONOTE: Benchmarking Omnimodal Notation Processing for Expert-level Music Intelligence
by: Ma, Menghe, et al.
Published: (2026)
by: Ma, Menghe, et al.
Published: (2026)
Similar Items
-
Beyond Boundary Frames: Context-Centric Video Interpolation with Audio-Visual Semantics
by: Deng, Yuchen, et al.
Published: (2025) -
Dynin-Omni: Omnimodal Unified Large Diffusion Language Model
by: Kim, Jaeik, et al.
Published: (2026) -
OmniRefiner: Reinforcement-Guided Local Diffusion Refinement
by: Liu, Yaoli, et al.
Published: (2025) -
OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models
by: Tao, Keda, et al.
Published: (2025) -
DASH: Dynamic Audio-Driven Semantic Chunking for Efficient Omnimodal Token Compression
by: Li, Bingzhou, et al.
Published: (2026)