Tootfinder

From One to More: Contextual Part Latents for 3D Generation
Shaocong Dong, Lihe Ding, Xiao Chen, Yaokun Li, Yuxin Wang, Yucheng Wang, Qi Wang, Jaehyeok Kim, Chenjian Gao, Zhanpeng Huang, Zibin Wang, Tianfan Xue, Dan Xu
https://arxiv.org/abs/2507.08772

From One to More: Contextual Part Latents for 3D Generation
Recent advances in 3D generation have transitioned from multi-view 2D rendering approaches to 3D-native latent diffusion frameworks that exploit geometric priors in ground truth data. Despite progress, three key limitations persist: (1) Single-latent representations fail to capture complex multi-part geometries, causing detail degradation; (2) Holistic latent coding neglects part independence and interrelationships critical for compositional design; (3) Global conditioning mechanisms lack fine-…

Yo creo que esa es una muy buena razón para migrar a plataformas que sean verdaderamente democršticas, transparentes y libres que no censuren o promuevan contenidos según los criterios de conveniencia de sus dueños.
¡Saludos desde el #Fediverso!
Re:

Come watch 33 new interviews with many of the luminaries that built & led Microsoft.
✅ Microsoft Alumni Voices
https://youtube.com/playlist?list=PLZZQ-CMtj6yTohSKLx7z5GjLkGNaD0Fde&si=32_XG62JE-WZ7ESD

Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in Conversation
Jialong Mai, Xiaofen Xing, Yawei Li, Zhipeng Li, Jingyuan Xing, Xiangmin Xu
https://arxiv.org/abs/2507.09076

Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in Conversation
Recent research has focused on applying speech large language model (SLLM) to improve speech emotion recognition (SER). However, the inherently high frame rate in speech modality severely limits the signal processing and understanding capabilities of SLLM. For example, a SLLM with a 4K context window can only process 80 seconds of audio at 50Hz feature sampling rate before reaching its capacity limit. Input token compression methods used in SLLM overlook the continuity and inertia of emotions a…

Sources: Linda Yaccarino told close contacts that the return of some advertisers and X's merger with xAI, which reduced her role, made it a good time to depart (Wall Street Journal)
https://www.wsj.com/business/media/…

Replaced article(s) found for cs.DC. https://arxiv.org/list/cs.DC/new
[1/1]:
- Efficient Long Context Fine-tuning with Chunk Flow
Yuan, Xu, Shen, Wang, Qiu, Zhang, Liu, Yu, Lin, Li, Jia, Li, Lin

Towards Efficient Quantity Retrieval from Text:an Approach via Description Parsing and Weak Supervision
Yixuan Cao, Zhengrong Chen, Chengxuan Xia, Kun Wu, Ping Luo
https://arxiv.org/abs/2507.08322

Towards Efficient Quantity Retrieval from Text:an Approach via Description Parsing and Weak Supervision
Quantitative facts are continually generated by companies and governments, supporting data-driven decision-making. While common facts are structured, many long-tail quantitative facts remain buried in unstructured documents, making them difficult to access. We propose the task of Quantity Retrieval: given a description of a quantitative fact, the system returns the relevant value and supporting evidence. Understanding quantity semantics in context is essential for this task. We introduce a fram…

CCSS: Hardware-Accelerated RTL Simulation with Fast Combinational Logic Computing and Sequential Logic Synchronization
Weigang Feng, Yijia Zhang, Zekun Wang, Zhengyang Wang, Yi Wang, Peijun Ma, Ningyi Xu
https://arxiv.org/abs/2507.08406

CCSS: Hardware-Accelerated RTL Simulation with Fast Combinational Logic Computing and Sequential Logic Synchronization
As transistor counts in a single chip exceed tens of billions, the complexity of RTL-level simulation and verification has grown exponentially, often extending simulation campaigns to several months. In industry practice, RTL simulation is divided into two phases: functional debug and system validation. While system validation demands high simulation speed and is typically accelerated using FPGAs, functional debug relies on rapid compilation-rendering multi-core CPUs the primary choice. However…

Sources: Linda Yaccarino told close contacts that the return of some advertisers and X's merger with xAI, which reduced her role, made it a good time to depart (Wall Street Journal)
https://www.wsj.com/business/media/linda-y

Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking
Wuwei Zhang, Fangcong Yin, Howard Yen, Danqi Chen, Xi Ye
https://arxiv.org/abs/2506.09944

Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking
Recent work has identified retrieval heads (Wu et al., 2025b), a subset of attention heads responsible for retrieving salient information in long-context language models (LMs), as measured by their copy-paste behavior in Needle-in-a-Haystack tasks. In this paper, we introduce QRHEAD (Query-Focused Retrieval Head), an improved set of attention heads that enhance retrieval from long context. We identify QRHEAD by aggregating attention scores with respect to the input query, using a handful of exa…