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CRAG: Can 3D Generative Models Help 3D Assembly?
Announce Type: replace Abstract: Most existing 3D assembly methods treat the problem as pure pose estimation, rearranging observed parts via rigid transformations. In contrast, human assembly naturally couples structural reasoning with holistic shape inference. Inspired by this intuition, we reformulate 3D assembly as a joint problem of assembly and generation.
Palestinian rock climbing in West Bank hindered by Israeli settlements
Palestinian rock climbing in West Bank hindered by Israeli settlements To display this content from YouTube, you must enable advertisement tracking and audience measurement. Issued on: Rock climbing has exploded in popularity in recent years, and it has happened in the occupied West Bank, too. But Palestinian climbers face numerous obstacles, largely fueled by the expansion of Israeli settlements.
Peaks, lakes and coastal views: Here are the best trails in Europe to hike this summer
Lace up your hiking boots and swap crowded city breaks for volcanic landscapes, dramatic peaks and coastal trails across the continent. Europe has no shortage of awe-inspiring trails, whether you’re looking to tackle heart-pumping peaks or take a leisurely stroll through nature. If you’re struggling to pick where to go, AllTrails’ pick of the best trail destinations for 2026 is a good place to start.
CacheRAG: A Semantic Caching System for Retrieval-Augmented Generation in Knowledge Graph Question Answering
arXiv:2604.26176v4 Announce Type: replace Abstract: The integration of Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) has significantly advanced Knowledge Graph Question Answering (KGQA). However, existing LLM-driven KGQA systems act as stateless planners, generating retrieval plans in isolation without exploiting historical query patterns: analogous to a database system that optimizes every query from scratch without a plan cache. This fundamental design flaw leads...
CacheRAG: A Semantic Caching System for Retrieval-Augmented Generation in Knowledge Graph Question Answering
Announce Type: replace Abstract: The integration of Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) has significantly advanced Knowledge Graph Question Answering (KGQA). However, existing LLM-driven KGQA systems act as stateless planners, generating retrieval plans in isolation without exploiting historical query patterns: analogous to a database system that optimizes every query from scratch without a plan cache. This fundamental design flaw leads to schema...
The Alligator Alcatraz Boondoggle
Since the early 1990s, I have visited scores of prisons and jails throughout the United States, as well as the Guantánamo Bay detention camp. The immigrant-detention facility known as Alligator Alcatraz, deep in the Florida Everglades, stands out as a uniquely cruel publicity stunt with an absurdly high price tag, in which much of the money goes into just a few pockets. For almost a year, the facility has been operated under an unusual arrangement: funded by the state of Florida and run by...
CacheRAG: A Semantic Caching System for Retrieval-Augmented Generation in Knowledge Graph Question Answering
arXiv:2604.26176v3 Announce Type: replace Abstract: The integration of Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) has significantly advanced Knowledge Graph Question Answering (KGQA). However, existing LLM-driven KGQA systems act as stateless planners, generating retrieval plans in isolation without exploiting historical query patterns: analogous to a database system that optimizes every query from scratch without a plan cache. This fundamental design flaw leads...