Category
20,515 papers
This work introduces DecisionPivot, a diagnostic benchmark comprising 48 tasks and 40,033 items across seven decision roles that provides fine-grained diagnostics of decision failures that aggregate evaluation alone cannot reveal, and evaluates 40 decision models and 14 general models using documented, model-specific p...
Proof-Carrying Contracts (PC2) is introduced, a framework for making agreed constraints enforceable throughout an agent's interactions with a system and provides a foundation for an agent economy whose agreements protect both those delegating work and those carrying it out.
Learning latent dynamics is fundamental to building action-conditioned world models for planning. Among existing families, Joint Embedding Predictive Architectures (JEPAs) offer a natural framework by modeling transitions directly in latent space rather than at the pixel level. However, two issues remain in JEPA-based...
It is argued that information decomposition can serve as a unifying formal framework to operationalize assessments about synergy in AI systems, and gives claims of emergence a precise, falsifiable criterion.
Reach audiences
Advertise in front of researchers, engineers, and readers.
Human mobility data are fundamental to Web-based location services and broader urban applications, and mobility generation provides synthetic trajectories when real data are costly or inaccessible. Although recent mobility generators have incorporated collective mobility patterns, they primarily focus on individual tra...
Agents are starting to sell to other agents. Seller agents write the listings of tools, services and products, and buyer agents read these listings when they choose what to use. We show that seller agents told only to be selected more often practice generative engine optimization on their own, and that this distorts th...
Large Language Model inference over long contexts is increasingly bottlenecked by the cost of attending to a growing Key-Value (KV) cache. Sparse attention reduces this cost by accessing only a fraction of the cache, but existing methods face a trade-off between deterministic retrieval, which captures high-scoring toke...
This work introduces DIVE, a benchmark for evaluating full-duplex interaction with visual engagement under continuous and realistic multimodal streams and evaluates representative real-time models using response quality, window response rates, and reaction latency.
Head-dimension compression can reduce the memory required by the key-value (KV) cache, but existing methods often reconstruct full-dimensional representations during inference, adding significant decoding FLOPs overhead. We formalize the design considerations for converting pretrained attention into a natively reduced-...
FALCA is proposed, a falsification-aware framework that formulates deep search as a propose-falsify process and improves long-horizon deep search performance over backbone and harness ablations, while reducing confirmation bias and error accumulation through more effective falsification and research-state revision.
Spatial reasoning asks a model to work out where objects are in 3D space, how they relate to one another, and how they move. Agentic VLMs have recently brought large improvements on such tasks by letting the model actively gather evidence with 3D perception tools instead of answering in a single pass. Even so, on many...
It is proposed that factual sycophancy arises when in-context updating gives a user's assertion excessive weight relative to its evidence, a trade-off that calls for evaluations measuring both behaviors and mitigations that decouple them.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
