Tootfinder

CUE-RAG: Towards Accurate and Cost-Efficient Graph-Based RAG via Multi-Partite Graph and Query-Driven Iterative Retrieval
Yaodong Su, Yixiang Fang, Yingli Zhou, Quanqing Xu, Chuanhui Yang
https://arxiv.org/abs/2507.08445

CUE-RAG: Towards Accurate and Cost-Efficient Graph-Based RAG via Multi-Partite Graph and Query-Driven Iterative Retrieval
Despite the remarkable progress of Large Language Models (LLMs), their performance in question answering (QA) remains limited by the lack of domain-specific and up-to-date knowledge. Retrieval-Augmented Generation (RAG) addresses this limitation by incorporating external information, often from graph-structured data. However, existing graph-based RAG methods suffer from poor graph quality due to incomplete extraction and insufficient utilization of query information during retrieval. To overcom…

TASC: Task-Aware Shared Control for Teleoperated Manipulation
Ze Fu, Pinhao Song, Yutong Hu, Renaud Detry
https://arxiv.org/abs/2509.10416 https://arxiv.or…

TASC: Task-Aware Shared Control for Teleoperated Manipulation
We present TASC, a Task-Aware Shared Control framework for teleoperated manipulation that infers task-level user intent and provides assistance throughout the task. To support everyday tasks without predefined knowledge, TASC constructs an open-vocabulary interaction graph from visual input to represent functional object relationships, and infers user intent accordingly. A shared control policy then provides rotation assistance during both grasping and object interaction, guided by spatial cons…

Sources: Alibaba and Baidu have begun using their own internally designed chips to train their AI models, partly replacing AI chips made by Nvidia (Qianer Liu/The Information)
https://www.theinformation.com/articles/alibaba-baidu-adopt-ai-chips-m…

Alibaba and Baidu Adopt Their Own AI Chips in Major Shift for Chinese Tech
Chinese tech giants Alibaba Group and Baidu have begun using their own internally designed chips to train their artificial intelligence models, partly replacing AI chips made by Nvidia, according to four people with direct knowledge of the moves. The move is the latest sign that a decoupling of ...

FloodVision: Urban Flood Depth Estimation Using Foundation Vision-Language Models and Domain Knowledge Graph
Zhangding Liu, Neda Mohammadi, John E. Taylor
https://arxiv.org/abs/2509.04772

FloodVision: Urban Flood Depth Estimation Using Foundation Vision-Language Models and Domain Knowledge Graph
Timely and accurate floodwater depth estimation is critical for road accessibility and emergency response. While recent computer vision methods have enabled flood detection, they suffer from both accuracy limitations and poor generalization due to dependence on fixed object detectors and task-specific training. To enable accurate depth estimation that can generalize across diverse flood scenarios, this paper presents FloodVision, a zero-shot framework that combines the semantic reasoning abilit…

Sources: TikTok plans to launch a new version of its app in the US on September 5, ahead of the Sept. 17 deadline for the US to enforce the divest-or-ban law (The Information)
https://www.theinformation.com/articles/tiktok-building-n…

TikTok Building New Version of App Ahead of Expected U.S. Sale
TikTok is building a new version of its app for users in the U.S. ahead of a planned sale of the app to a group of investors. The company has developed a plan to launch the new TikTok app, known internally as “M2,” to U.S. app stores on September 5, according to two people with knowledge of the ...

LINKER: Learning Interactions Between Functional Groups and Residues With Chemical Knowledge-Enhanced Reasoning and Explainability
Phuc Pham, Viet Thanh Duy Nguyen, Truong-Son Hy
https://arxiv.org/abs/2509.03425

LINKER: Learning Interactions Between Functional Groups and Residues With Chemical Knowledge-Enhanced Reasoning and Explainability
Accurate identification of interactions between protein residues and ligand functional groups is essential to understand molecular recognition and guide rational drug design. Existing deep learning approaches for protein-ligand interpretability often rely on 3D structural input or use distance-based contact labels, limiting both their applicability and biological relevance. We introduce LINKER, the first sequence-based model to predict residue-functional group interactions in terms of biologica…

medicX-KG: A Knowledge Graph for Pharmacists' Drug Information Needs
Lizzy Farrugia, Lilian M. Azzopardi, Jeremy Debattista, Charlie Abela
https://arxiv.org/abs/2506.17959

medicX-KG: A Knowledge Graph for Pharmacists' Drug Information Needs
The role of pharmacists is evolving from medicine dispensing to delivering comprehensive pharmaceutical services within multidisciplinary healthcare teams. Central to this shift is access to accurate, up-to-date medicinal product information supported by robust data integration. Leveraging artificial intelligence and semantic technologies, Knowledge Graphs (KGs) uncover hidden relationships and enable data-driven decision-making. This paper presents medicX-KG, a pharmacist-oriented knowledge gr…

Dynamically Adaptive Reasoning via LLM-Guided MCTS for Efficient and Context-Aware KGQA
Yingxu Wang, Shiqi Fan, Mengzhu Wang, Siwei Liu
https://arxiv.org/abs/2508.00719 https://…

Dynamically Adaptive Reasoning via LLM-Guided MCTS for Efficient and Context-Aware KGQA
Knowledge Graph Question Answering (KGQA) aims to interpret natural language queries and perform structured reasoning over knowledge graphs by leveraging their relational and semantic structures to retrieve accurate answers. Recent KGQA methods primarily follow either retrieve-then-reason paradigm, relying on GNNs or heuristic rules for static paths extraction, or dynamic path generation strategies that use large language models (LLMs) with prompting to jointly perform retrieval and reasoning. …

Sources: TikTok plans to launch a new version of its app in the US on September 5, ahead of the Sept. 17 deadline for the US to enforce the divest-or-ban law (The Information)
https://www.theinformation.com/articles/tiktok-building-n…

TikTok Building New Version of App Ahead of Expected U.S. Sale
TikTok is building a new version of its app for users in the U.S. ahead of a planned sale of the app to a group of investors. The company has developed a plan to launch the new TikTok app, known internally as “M2,” to U.S. app stores on September 5, according to two people with knowledge of the ...

Understanding the Effect of Knowledge Graph Extraction Error on Downstream Graph Analyses: A Case Study on Affiliation Graphs
Erica Cai, Brendan O'Connor
https://arxiv.org/abs/2506.12367

Understanding the Effect of Knowledge Graph Extraction Error on Downstream Graph Analyses: A Case Study on Affiliation Graphs
Knowledge graphs (KGs) are useful for analyzing social structures, community dynamics, institutional memberships, and other complex relationships across domains from sociology to public health. While recent advances in large language models (LLMs) have improved the scalability and accessibility of automated KG extraction from large text corpora, the impacts of extraction errors on downstream analyses are poorly understood, especially for applied scientists who depend on accurate KGs for real-wo…