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Front-to-Attractors: Modifying the Front-to-Front Heuristic in Bidirectional Search
arXiv:2606.07047v1 Announce Type: new Abstract: Heuristics play a central role in the performance of bidirectional search algorithms, which commonly rely on two main classes. Front-to-end (F2E) heuristics estimate the distance from a state s to the target of the search (the goal for forward search or the start for backward search). In contrast, front-to-front (F2F) heuristics estimate the distance from s to the opposite search frontier using a pairwise function h(s, s'), where s' ranges over...
Front-to-Attractors: Modifying the Front-to-Front Heuristic in Bidirectional Search
arXiv:2606.07047v2 Announce Type: replace Abstract: Heuristics play a central role in the performance of bidirectional search algorithms, which commonly rely on two main classes. Front-to-end (F2E) heuristics estimate the distance from a state s to the target of the search (the goal for forward search or the start for backward search). In contrast, front-to-front (F2F) heuristics estimate the distance from s to the opposite search frontier using a pairwise function h(s, s'), where s' ranges...
Bidirectional Search for Longest Paths: Case for Front-to-Front Heuristics
arXiv:2606.05956v1 Announce Type: new Abstract: Bidirectional heuristic search can potentially reduce search effort for problems amenable to backward search. Therein, it is well-known that front-to-front heuristics can reduce the number of node expansions, but their overhead is so high that overall runtime almost always increases. We propose BiXDFBnB, a bidirectional depth-first branch-and-bound algorithm that adapts the Single-Frontier Bidirectional Search (SFBDS) framework - originally...
5 fast-growing climbing plants for your front door to add charm this summer
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I've just moved in and neighbours park in front of my house - even though their drive can fit two cars
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CRAFT: Cost-aware Refinement And Front-aware Tuning of Prompts
Announce Type: new Abstract: Prompts tuned for accuracy often grow long, raising inference cost on every model call. The best accuracy-cost trade-off depends on the task and the budget, so prompt optimization is a search over the Pareto front of accuracy and prompt-token cost rather than for one prompt. The usual shortcut, collapsing the objectives into a weighted sum, fixes the trade-off weight before search and often recovers only a narrow region of the front, a failure we call...
Iconic 1914 Daily Mirror front page found inside the Royal Box at Epsom as King and Queen head to Derby
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Rejuvenated Verstappen happy with Monaco front row
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Prolific character actor stabbed to death in front yard at age 81
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Mum loses battle to keep massive gorilla on front of her home
Mum loses battle to keep massive gorilla on front of her home Adele Teale, 59, was forced to remove a 4kg model gorilla from outside her home after losing a battle with her local council over planning permission - she has now revealed the ape's new residence A defiant mum has lost a battle with her local council to keep her beloved four-foot-tall gorilla landmark on the front of her house. Adele Teale, 59, was ordered last month by Wakefield Council to remove the 4kg resin figure from...