Central bank press conferences are not merely information releases --- they are structured narratives. We study whether the shape of sentiment within a statement, not just its average tone, carries policy-relevant signals. Constructing sentiment arcs for ECB and Fed press conferences along three dimensions --- monetary...
Martin Feldkircher, Márton Kardos, K. Nielbo· 0 citations
Numerically equivalent word problems should yield the same canonical answer whether a quantity is written as a decimal, fraction, percentage, number word, scientific notation, or an exactly converted unit, and five open-weight systems are evaluated.
Text classifiers trained on the ISOT/Kaggle "Fake and Real News"corpus routinely report accuracy and F1 above 0.98, which concludes that within-corpus scores here quantify source and topic separability rather than veracity, and is recommended metadata-only, small-sample, and topic-disjoint baselines as inexpensive diag...
Human feedback can vary in cost and informativeness. Strong feedback can reveal severe errors but is costly, so cheaper quality ratings can help decide which items to annotate. We propose MICRO (Multi-Fidelity Impact Clustered Rollout), an active search framework that allocates a shared budget to these feedback types t...
Orlando Leone, Niclas Pokel, P. Moure et al.· 0 citations
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This work runs a preregistered intervention on Spider-Realistic, swapping that database for the benchmark's distilled multi-instance test suite, and finds that every execution-consistency score looks better under the labels of the oracle that built its clusters, in 16 of 16 combinations.
Jia-Miao Liu, De-Wen Qiao, Yu Zhang et al.· 0 citations
A proxy-based validation claim is asked to declare the span each label is read from, report the construct agreement beside the proxy agreement, and release the generations that let the proxy be re-read off the scored span.
It is proved that LEMA transformers with chain of thought can simulate word-RAMs, as was recently shown for the less restrictive rightmost hard attention, and dictionary-based inference is implemented for LEMA transformers with dictionaries residing in main memory rather than VRAM.
GittinsEval is consistently competitive, with particularly strong gains over configuration-level Bayesian optimization on large-example benchmarks and over cost-unaware bandit baselines on large-candidate tasks.
This work provides the first mechanistic base-vs-instruct comparison of conflict-resolution circuits, and believes that because the conflict circuit is preserved rather than rebuilt, interpretability and control tools calibrated on base models should transfer directly to their deployed instruct siblings.
S. Pandere, Gautam Ranka, Ritika Varshney et al.· 0 citations
GNN-based Knowledge Graph Question Answering (KGQA) pipelines process queries through four discrete stages: entity linking, subgraph retrieval, GNN reasoning, and answer generation. Standard robustness evaluations conflate stage-level failures into a single end-to-end metric, obscuring both the source of brittleness an...
Probing the capabilities of Large Language Models (LLMs) and building robust solutions for Multiple-Choice Question Answering (MCQA) remain central challenges in natural language understanding. Furthermore, the rapid proliferation of LLMs has created the implicit assumption that more sophisticated prompting techniques...
The proposed framework improves explanation robustness and achieves consistent performance gains across multiple NER models and provides a practical and generalizable solution for explainable medical NER and offers reliable support for downstream clinical decision-making and medical knowledge applications.
Xueguang Li, Di Lin, Xue Jiang et al.· arXiv.org· 0 citations
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
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.
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