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17,119 papers
On twenty interdisciplinary research prompts, scored under a rubric fixed in advance, K-Dense BYOK led two managed platforms on both scientific quality and research execution.
Personalizing large language models (LLMs) requires aligning generation behavior with user-specific preferences rather than aggregate quality. While Direct Preference Optimization (DPO) provides a stable framework for preference learning, its effectiveness in personalized settings critically depends on how preference p...
Diversity collapse in parallel chain-of-thought has motivated inference-time interventions built on a natural design: when a process reward model (PRM) prunes a chain, its high-PRM prefix is extracted and grafted verbatim as an in-context demonstration into a still-decoding sibling. We isolate this mechanism, PRM-Prune...
Whether off-the-shelf SLMs meet practitioner-defined thresholds and, when they fail, why, and whether quantization changes the answer are asked, and an eligibility gap is found.
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A message-intervention diagnostic is introduced that fixes the evidence and candidate answer while varying only the rationale passed across the reasoner-to-verifier boundary, not merely as a route to higher answer accuracy.
Praxa, an agent harness that represents these states explicitly through deterministic admission, brokered execution, external read-back, reconciliation, and reviewed promotion, is presented, an evidence-bound architecture that makes authority-to-effect transitions explicit and testable.
FedCausalCompose, a causal world-model framework for modular LLM agents in which local actions provide intervention-response evidence for cross-module interfaces, identifies a concrete condition for causal world models in LLM agents: causal structure helps when cross-module interfaces are both statistically identifiabl...
The results suggest that heavy-tailed memory traces are not only a diagnostic of finite retrieval, but also a practical control signal for token-efficient agent world models.
Reliable building performance management involves reducing energy use and peak demand while maintaining indoor comfort and operational safety. Achieving these objectives requires effective strategies across the building life cycle, from early-stage design to operation. However, the availability, quality, and structure...
Recent developments in artificial intelligence have affected the creative industry, such as music composition, and present questions about the role of human creativity and listener perceptions. This research offers an empirical comparison of audience perceptions and emotional experiences of AI-composed versus human-com...
Recent developments in artificial intelligence have affected the creative industry, such as music composition, and present questions about the role of human creativity and listener perceptions. This research offers an empirical comparison of audience perceptions and emotional experiences of AI-composed versus human-com...
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.
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