A.X K1 Technical Report

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:We introduce A.X K1, a 519B-parameter Mixture-of-Experts (MoE) language model trained from scratch. Our design leverages scaling laws to optimize training configurations and vocabulary size under fixed computational budgets. A.X K1 is pre-trained on a corpus of approximately 10T tokens, curated by […]


Continue.. A.X K1 Technical Report

Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Summarization of multi-party dialogues is a critical capability in industry, enhancing knowledge transfer and operational effectiveness across many domains. However, automatically generating high-quality summaries is challenging, as the ideal summary must satisfy a set of complex, multi-faceted requirements. While summarization has received […]


Continue.. Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization

User-Oriented Multi-Turn Dialogue Generation with Tool Use at scale

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:The recent paradigm shift toward large reasoning models (LRMs) as autonomous agents has intensified the demand for sophisticated, multi-turn tool-use capabilities. Yet, existing datasets and data-generation approaches are limited by static, predefined toolsets that cannot scale to the complexity of open-ended human-agent […]


Continue.. User-Oriented Multi-Turn Dialogue Generation with Tool Use at scale

Data-driven learning of non-Markovian quantum dynamics

Kavli Affiliate: Susan Clark | Summary:Fault-tolerant quantum computing requires extremely precise knowledge and control of qubit dynamics during the application of a gate. We develop a data-driven learning protocol for characterizing quantum gates that builds off previous work on learning the Nakajima-Mori-Zwanzig (NMZ) formulation of open system dynamics from time series data, which allows detailed […]


Continue.. Data-driven learning of non-Markovian quantum dynamics

Data-driven learning of non-Markovian quantum dynamics

Kavli Affiliate: Susan Clark | Summary:Fault-tolerant quantum computing requires extremely precise knowledge and control of qubit dynamics during the application of a gate. We develop a data-driven learning protocol for characterizing quantum gates that builds off previous work on learning the Nakajima-Mori-Zwanzig (NMZ) formulation of open system dynamics from time series data, which allows detailed […]


Continue.. Data-driven learning of non-Markovian quantum dynamics

Lagrangian Grid-based Estimation of Nonlinear Systems with Invertible Dynamics

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:This paper deals with the state estimation of non-linear and non-Gaussian systems with an emphasis on the numerical solution to the Bayesian recursive relations. In particular, this paper builds upon the Lagrangian grid-based filter (GbF) recently-developed for linear systems and extends it […]


Continue.. Lagrangian Grid-based Estimation of Nonlinear Systems with Invertible Dynamics

A search for feebly-interacting particles in $B$ decays with missing energy at Belle

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:We present a search for an invisible hidden-sector particle $ X_rminv$, produced in $B^0 to barD^0 X_rminv$ and $B^pmto h X_rminv$ decays, where $h = π^pm$, $K^pm$, $D_s^pm$, $p^pm$. The search is performed using $e^+ e^-$ collision data recorded with the Belle […]


Continue.. A search for feebly-interacting particles in $B$ decays with missing energy at Belle

Reconstruction of atmospheric neutrinos in DUNE’s horizontal-drift far-detector module

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:This paper reports on the capabilities in reconstructing and identifying atmospheric neutrino interactions in one of the Deep Underground Neutrino Experiment’s (DUNE) far detector modules, a liquid argon time projection chamber (LArTPC) with horizontal drift (FD-HD) of ionization electrons. The reconstruction is […]


Continue.. Reconstruction of atmospheric neutrinos in DUNE’s horizontal-drift far-detector module

Belief in Authority: Impact of Authority in Multi-Agent Evaluation Framework

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Multi-agent systems utilizing large language models often assign authoritative roles to improve performance, yet the impact of authority bias on agent interactions remains underexplored. We present the first systematic analysis of role-based authority bias in free-form multi-agent evaluation using ChatEval. Applying French […]


Continue.. Belief in Authority: Impact of Authority in Multi-Agent Evaluation Framework

From National Curricula to Cultural Awareness: Constructing Open-Ended Culture-Specific Question Answering Dataset

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Large language models (LLMs) achieve strong performance on many tasks, but their progress remains uneven across languages and cultures, often reflecting values latent in English-centric training data. To enable practical cultural alignment, we propose a scalable approach that leverages national social studies […]


Continue.. From National Curricula to Cultural Awareness: Constructing Open-Ended Culture-Specific Question Answering Dataset