conservation_from_balance

"This approach allows EMMA to jointly process various driving tasks in a unified language space"

"inspired by the ROME direct editing method... modify a sequence of layers and develop a way for thousands of modifications to be performed simultaneously"

"Under deterministic update semantics and minimality (no intra-tick ordering metadata), we derive atomic ticks (at most one event per tick). Explicit structural assumptions (conservation, no sources/sinks, pairwise locality, quantization in δℤ) force balanced double-entry postings"

"We reformulate recommendation problems as sequential transduction tasks within a generative modeling framework (Generative Recommenders), and propose a new architecture, HSTU, designed for high cardinality, non-stationary streaming recommendation data."

"the gated delta rule... combines both approaches... hardware-efficient chunkwise algorithm"

"the entire denoising process to be framed as a Markov Decision Process (MDP) in a stochastic environment, where GRPO is then applied to optimize the complete state-action sequence"

"we extend diffusion solvers to efficiently handle general noisy (non)linear inverse problems via approximation of the posterior sampling"

"the overheads required to ensure fault-tolerant quantum computing will significantly outpace the resources required for fault-tolerant classical computing"

"we propose PagedAttention, an attention algorithm inspired by the classical virtual memory and paging techniques in operating systems. On top of it, we build vLLM, an LLM serving system that achieves (1) near-zero waste in KV cache memory and (2) flexible sharing of KV cache within and across requests"

"the ponder cost ρt = N(t) + R(t) ... τP(x)"

"we propose CISPO, a novel RL algorithm to further enhance RL efficiency. CISPO clips importance sampling weights rather than token updates"

"Experiments on LoCoMo, LongMemEval, HotpotQA, and ALFWorld demonstrate that MemSkill improves task performance over strong baselines and generalizes well across settings."

"They can also have 't Hooft anomalies, which prevent us from gauging them, but lead to 't Hooft anomaly matching conditions. Such anomalies can also lead to anomaly inflow on various defects and exotic Symmetry Protected Topological phases."

"the same perturbation can cause a different network, that was trained on a different subset of the dataset, to misclassify the same input."

"Through multi-stage training on 23T tokens and comprehensive post-training with expert model iteration and reinforcement learning"

"SEARCH-R1 optimizes LLM reasoning trajectories with multi-turn search interactions, leveraging retrieved token masking for stable RL training"

"To support the pre-training phase, we have developed a dataset that currently consists of 2 trillion tokens"

"In Jet-Mode AGN the bulk of energetic output takes the form of collimated outflows (jets). These AGN are associated with the more massive black holes in more massive (classical) bulges and elliptical galaxies. Neither the accretion onto these black holes nor star-formation in their host bulge is significant today. These AGN are probably fueled by the accretion of slowly cooling hot gas that is limited by the feedback/heating provided by AGN radio sources."

"Following the basic principles of the Zettelkasten method, we designed our memory system to create interconnected knowledge networks through dynamic indexing and linking. When a new memory is added, we generate a comprehensive note containing multiple structured attributes, including contextual descriptions, keywords, and tags. The system then analyzes historical memories to identify relevant connections, establishing links where meaningful similarities exist."

"large N phase transition related to the thermodynamics of AdS black holes"

"Empirical results show that our methods consistently outperform all existing memory systems across four question categories: single-hop, temporal, multi-hop, and open-domain. Notably, Mem0 achieves 26% relative improvements in the LLM-as-a-Judge metric over OpenAI, while Mem0 with graph memory achieves around 2% higher overall score than the base configuration."

"the sequence-level importance weight πθ(yi|x)/πθold(yi|x) has a clear theoretical meaning"