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3,243 papers
In a typical systematic paper, specimen morphology is described with natural language, and taxonomic specialists use glossaries of technical terminology to establish and communicate taxon concepts, using morphology to delimit species. Textual descriptions of specimen morphology are therefore foundational to biological...
Grounded spatial reasoning about indoor scenes rests on a geometric reconstruction that the multimodal system does not itself produce. Feed-forward multi-view reconstruction models operate under a fixed view budget, making frame selection a critical upstream decision. We show that under this setting the conventional pr...
Science education requires learning resources that connect scientific knowledge with contextual problem solving, environmental responsibility, and learners’ cultural experiences. This study aimed to determine the validity and practicality of the Pancaniti ethnoscience-based UA-EVAA (Understanding, Awareness, Evidence-B...
Tourism firms at heritage destinations must manage operational risks and protect the resources on which their businesses depend. Online reviews could inform managerial follow-up, but sparse mentions and high ratings may limit their value. This study examines these limits through a transparent business analytics pipelin...
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The widespread adoption of large language models has increased the need to distinguish human-authored text from AI-generated content, including cases in which generated text is subsequently rewritten or paraphrased. In practice, many detectors output only a single AI-likelihood score or percentage, offering limited tra...
Mining environmental metagenomics data, the authors show that small HK97-fold-encoding viral genomes bridge Duplodnaviria viral capsids and cellular protein shells, revealing bidirectional evolution in which viral procapsids enable the transitions between viral and metabolic compartments.
Rising DAS adoption was accompanied by a more heterogeneous pooled composition of sharing mechanisms rather than a single pathway towards open data, a shift driven largely by the staggered entry of journals.
This dissertation asks whether compression can be made capability-aware by borrowing the unit of analysis from mechanistic interpretability, and presents the problem formulation, the gap identified in a targeted review of the compression and interpretability literatures, and the design of a first experiment measuring c...
A preliminary task-level comparison of a Direct Generation Workflow and a Decomposed Generation Workflow under matched inputs and evaluation conditions provides preliminary evidence that the value of multi-agent decomposition is task-dependent.
The loss of fidelity shows that intermediate teacher evaluations provide useful supervision for approximating the evaluative function, and whether reducing the influence of intermediate teacher evaluations improves or impairs approximation is tested by comparing plain binary cross-entropy with weighting, masking, and h...
Long-lived technical organizations depend on senior subject matter experts whose knowledge is only partially preserved in reports, publications, and archival metadata. Digital libraries preserve those records, but they rarely provide centralized, expert-scoped, question-answering access to the knowledge of people who l...
This work investigates whether Large Language Model-generated labels and paraphrases can train small, fast classifiers for this task, and reports on evaluation for six properties currently relies on LLM-generated labels validated against a 50-page human-annotated sample.
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A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
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