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LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks
arXiv:2606.03303v1 Announce Type: new Abstract: Large Language Models (LLMs) exhibit strong informal mathematical reasoning but struggle to generate mechanically verifiable proofs in formal languages like Lean. We present LEAP, an agentic framework that enables general-purpose foundation models to achieve state-of-the-art performance on automated formal theorem proving. LEAP leverages foundation model capabilities, such as informal reasoning, instruction following, and iterative self-refinement.
LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks
Announce Type: replace Abstract: Large Language Models (LLMs) exhibit strong informal mathematical reasoning but struggle to generate mechanically verifiable proofs in formal languages like Lean. We present LEAP, an agentic framework that enables general-purpose foundation models to achieve state-of-the-art performance on automated formal theorem proving. LEAP leverages foundation model capabilities, such as informal reasoning, instruction following, and iterative self-refinement.
Woman leaps from window of burning London flat as e-bike fire blocks escape
Woman leaps from window of burning London flat as e-bike fire blocks escape Two e-bikes burst into flames at a flat in Brent, London, blocking a woman's escape route and forcing her to jump from a window A woman was forced to leap from a first-floor window after two e-bikes burst into flames at a flat in London. Emergency services rushed to Brondesbury Park, Brent, to tackle the blaze at a detached house that had been converted into flats. The blaze was caused by a lithium battery failure on...
Huawei chips refine DeepSeek model in major leap for China’s AI self-reliance
Huawei chips refine DeepSeek model in major leap for China’s AI self-reliance While Chinese chipmakers have found success in supporting AI inference, they are struggling with the far more complex process of training While Chinese chipmakers have found success in supporting AI inference – the relatively simple process of running an already-finished model to answer user prompts – they have struggled with training, the far more complex process of building or refining a model’s brain. If initial...
Woman leaps from balcony to escape kidnapping after horrific cross-country ordeal: officials
A Florida woman escaped a terrifying three-week kidnapping ordeal after allegedly being held captive and driven across the country by her ex-boyfriend, eventually leaping from a California balcony to save her life, authorities said Thursday. Lee County Sheriff Carmine Marceno announced Thursday that 41-year-old Floyd Stuck was arrested on charges including kidnapping, aggravated stalking, installing a tracking device without consent and fleeing and eluding law enforcement after authorities...
LeAP: Learnable Adaptive Permutation for Feature Selection in Heterogeneous and Sparse Recommender Systems
arXiv:2606.01111v2 Announce Type: replace Abstract: Modern industrial recommender systems rely on thousands of heterogeneous features -- ranging from low-dimensional scalars (e.g., statistical value) to high-dimensional embeddings (e.g., user-id embeddings, MLP representations) -- to achieve high-precision predictions. Given the immense computational costs associated with training, efficient feature selection is critical. However, existing methods encounter three primary bottlenecks: (1)...
LeAP: Learnable Adaptive Permutation for Feature Selection in Heterogeneous and Sparse Recommender Systems
new Abstract: Modern industrial recommender systems rely on thousands of heterogeneous features -- ranging from low-dimensional scalars (e.g., statistical value) to high-dimensional embeddings (e.g., user-id embeddings, MLP representations) -- to achieve high-precision predictions. Given the immense computational costs associated with training, efficient feature selection is critical. However, existing methods encounter three primary bottlenecks: (1) they typically assume uniform feature...
LEAP: A Rapid Neural Surrogate of Multi-Fluid MHD at Europa
arXiv:2606.10215v1 Announce Type: new Abstract: Characterizing Europa's subsurface ocean is a key objective of the Europa Clipper and JUICE missions in the search for life beyond Earth. Although the ocean's induced magnetic field provides key constraints on habitability, interpretation is complicated by perturbations arising from Jupiter's plasma interaction with Europa. Physics-based models (e.g. magnetohydrodynamic, MHD) required to characterize these effects are physically comprehensive,...
GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes
arXiv:2606.01273v1 Announce Type: new Abstract: Spatio-temporal point processes (STPPs) provide a principled framework for modeling asynchronous events in continuous time and space. Recent diffusion-based approaches offer a flexible alternative to deterministic prediction by modeling complex conditional distributions, but their application to STPPs remains challenging: reverse sampling from pure noise is costly, and weak structural constraints in sparse spatial domains can lead to poorly...
LEAP: Learnable End-to-End Adaptive Pruning of Large Language Models
Announce Type: replace Abstract: Unstructured sparsity is now natively accelerated by recent GPU kernels and dataflow hardware, shifting the bottleneck from inference execution to the pruning algorithm. State-of-the-art methods for unstructured LLM pruning are layer-wise surrogates derived from the Optimal Brain Surgeon principle, and they sacrifice end-to-end accuracy, especially under aggressive sparsity.