Temporal Reasoning Transfer from Text to Video
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Lei, Liu, Yuanxin, Yao, Linli, Zhang, Peiyuan, An, Chenxin, Wang, Lean, Sun, Xu, Kong, Lingpeng, Liu, Qi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos
by: Yao, Linli, et al.
Published: (2025)
by: Yao, Linli, et al.
Published: (2025)
DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models
by: Yao, Linli, et al.
Published: (2024)
by: Yao, Linli, et al.
Published: (2024)
TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment
by: Li, Shicheng, et al.
Published: (2025)
by: Li, Shicheng, et al.
Published: (2025)
VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models
by: Li, Shicheng, et al.
Published: (2023)
by: Li, Shicheng, et al.
Published: (2023)
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models
by: Li, Lei, et al.
Published: (2024)
by: Li, Lei, et al.
Published: (2024)
TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions
by: Yao, Linli, et al.
Published: (2026)
by: Yao, Linli, et al.
Published: (2026)
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
by: Li, Lei, et al.
Published: (2024)
by: Li, Lei, et al.
Published: (2024)
Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding
by: Li, Yun, et al.
Published: (2025)
by: Li, Yun, et al.
Published: (2025)
Investigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters
by: Xu, Zhiyu, et al.
Published: (2026)
by: Xu, Zhiyu, et al.
Published: (2026)
RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction
by: Wang, Yuchi, et al.
Published: (2025)
by: Wang, Yuchi, et al.
Published: (2025)
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
by: Ren, Shuhuai, et al.
Published: (2023)
by: Ren, Shuhuai, et al.
Published: (2023)
STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models
by: Liang, Yiming, et al.
Published: (2026)
by: Liang, Yiming, et al.
Published: (2026)
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment
by: Li, Lei, et al.
Published: (2024)
by: Li, Lei, et al.
Published: (2024)
Conan: Progressive Learning to Reason Like a Detective over Multi-Scale Visual Evidence
by: Ouyang, Kun, et al.
Published: (2025)
by: Ouyang, Kun, et al.
Published: (2025)
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?
by: Wang, Yuchi, et al.
Published: (2024)
by: Wang, Yuchi, et al.
Published: (2024)
An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes
by: Qi, Ji, et al.
Published: (2025)
by: Qi, Ji, et al.
Published: (2025)
VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?
by: Liu, Yuanxin, et al.
Published: (2025)
by: Liu, Yuanxin, et al.
Published: (2025)
Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning
by: Wei, Yana, et al.
Published: (2025)
by: Wei, Yana, et al.
Published: (2025)
When Thinking Hurts: Mitigating Visual Forgetting in Video Reasoning via Frame Repetition
by: Sun, Xiaokun, et al.
Published: (2026)
by: Sun, Xiaokun, et al.
Published: (2026)
Reasoning Resides in Layers: Restoring Temporal Reasoning in Video-Language Models with Layer-Selective Merging
by: Fu, Zihang, et al.
Published: (2026)
by: Fu, Zihang, et al.
Published: (2026)
R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation
by: Chen, Kaijie, et al.
Published: (2025)
by: Chen, Kaijie, et al.
Published: (2025)
LLaVA-OneVision: Easy Visual Task Transfer
by: Li, Bo, et al.
Published: (2024)
by: Li, Bo, et al.
Published: (2024)
SpaceR: Reinforcing MLLMs in Video Spatial Reasoning
by: Ouyang, Kun, et al.
Published: (2025)
by: Ouyang, Kun, et al.
Published: (2025)
Learning Transferable Temporal Primitives for Video Reasoning via Synthetic Videos
by: Jiang, Songtao, et al.
Published: (2026)
by: Jiang, Songtao, et al.
Published: (2026)
STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering
by: Wang, Yueqian, et al.
Published: (2024)
by: Wang, Yueqian, et al.
Published: (2024)
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation
by: Feng, Weixi, et al.
Published: (2024)
by: Feng, Weixi, et al.
Published: (2024)
ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation
by: Yuan, Shenghai, et al.
Published: (2024)
by: Yuan, Shenghai, et al.
Published: (2024)
Unhackable Temporal Rewarding for Scalable Video MLLMs
by: Yu, En, et al.
Published: (2025)
by: Yu, En, et al.
Published: (2025)
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
by: Fang, Rongyao, et al.
Published: (2025)
by: Fang, Rongyao, et al.
Published: (2025)
TempCompass: Do Video LLMs Really Understand Videos?
by: Liu, Yuanxin, et al.
Published: (2024)
by: Liu, Yuanxin, et al.
Published: (2024)
MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding
by: Luo, Fuwen, et al.
Published: (2025)
by: Luo, Fuwen, et al.
Published: (2025)
VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization
by: Li, Yunxin, et al.
Published: (2025)
by: Li, Yunxin, et al.
Published: (2025)
Tracing the Arrow of Time: Diagnosing Temporal Information Flow in Video-LLMs
by: Han, Peitao, et al.
Published: (2026)
by: Han, Peitao, et al.
Published: (2026)
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
by: Cheng, Zesen, et al.
Published: (2024)
by: Cheng, Zesen, et al.
Published: (2024)
Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm
by: Tong, Jingqi, et al.
Published: (2025)
by: Tong, Jingqi, et al.
Published: (2025)
Uni-cot: Towards Unified Chain-of-Thought Reasoning Across Text and Vision
by: Qin, Luozheng, et al.
Published: (2025)
by: Qin, Luozheng, et al.
Published: (2025)
ImgTrojan: Jailbreaking Vision-Language Models with ONE Image
by: Tao, Xijia, et al.
Published: (2024)
by: Tao, Xijia, et al.
Published: (2024)
LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images?
by: Ye, Maoyuan, et al.
Published: (2025)
by: Ye, Maoyuan, et al.
Published: (2025)
Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model
by: Huang, Haoyang, et al.
Published: (2025)
by: Huang, Haoyang, et al.
Published: (2025)
HawkEye: Training Video-Text LLMs for Grounding Text in Videos
by: Wang, Yueqian, et al.
Published: (2024)
by: Wang, Yueqian, et al.
Published: (2024)
Similar Items
-
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos
by: Yao, Linli, et al.
Published: (2025) -
DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models
by: Yao, Linli, et al.
Published: (2024) -
TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment
by: Li, Shicheng, et al.
Published: (2025) -
VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models
by: Li, Shicheng, et al.
Published: (2023) -
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models
by: Li, Lei, et al.
Published: (2024)