LWS is a text-first paradigm for full-duplex speech LLMs that treats visible writing as a primary output channel alongside audio input and spoken response, implemented via token schema and synthetic per-second annotations.
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7 Pith papers cite this work. Polarity classification is still indexing.
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The paper introduces a channels-and-substrates framework grounded in distributed cognition to model interaction for ubiquitous and cross-device analytics.
Complete classification of weak* continuous measure-valued valuations on star bodies in R^n, yielding integral representations for rotation-equivariant cases and a characterization of dual area measures.
Qualitative study of 19 CS students using multi-view visualizations reveals selective engagement driven by agency, fit, and legitimacy rather than cognitive load reduction alone.
Robo-Blocks is an LLM-augmented block-based tool that supplies generative scaffolding via structured narratives; a deployment study with novices surfaced user personas, usage patterns, and design insights for integrating such scaffolding into social-robot programming practice.
Polfed.jl provides an efficient implementation of polynomially filtered Lanczos diagonalization for mid-spectrum eigenpairs in quantum many-body systems, supporting larger sizes via on-the-fly polynomial transformations and GPU acceleration.
A qualitative study of mixed-ability teams identifies four types of interrelated failures and workarounds in information representation use, influenced by stigmas and social dynamics.
citing papers explorer
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Liberating LLM Capabilities in Full-Duplex Speech Models
LWS is a text-first paradigm for full-duplex speech LLMs that treats visible writing as a primary output channel alongside audio input and spoken response, implemented via token schema and synthetic per-second annotations.
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Channels and Substrates: Distributed Cognition as an Interaction Model for Ubiquitous Analytics
The paper introduces a channels-and-substrates framework grounded in distributed cognition to model interaction for ubiquitous and cross-device analytics.
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Measure-valued valuations on star bodies
Complete classification of weak* continuous measure-valued valuations on star bodies in R^n, yielding integral representations for rotation-equivariant cases and a characterization of dual area measures.
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Code as Anchor, Memory and Metaphor as Support: Learner Experiences with Multi-View Visualizations
Qualitative study of 19 CS students using multi-view visualizations reveals selective engagement driven by agency, fit, and legitimacy rather than cognitive load reduction alone.
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Robo-Blocks: Generative Scaffolding in End-User Design and Programming of Social Robots
Robo-Blocks is an LLM-augmented block-based tool that supplies generative scaffolding via structured narratives; a deployment study with novices surfaced user personas, usage patterns, and design insights for integrating such scaffolding into social-robot programming practice.
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"If We Had the Information That We Need to Interpret the World Around Us, We Wouldn't Be Disabled:" Barriers and Opportunities in Information Work among Blind and Sighted Colleagues
A qualitative study of mixed-ability teams identifies four types of interrelated failures and workarounds in information representation use, influenced by stigmas and social dynamics.