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19,710 papers
The Trinity is introduced, a recursive self-improvement framework coupling world generation with Harness evolution through three roles: Creator, Explorer, and Evolver, which introduces Capability-Driven Real2Sim2Real: for heterogeneous tasks at the same node, Creator abstracts their common requirements into simplified,...
The experimental results show a substantial improvement in classifica tion accuracy, emphasizing the critical role of data diversity and class balance, and highlight the effectiveness and adaptability of the proposed strat egy of data generation and distribution for enhancing dataset quality.
A baseline model of checking is given in which, until the model is good enough not to check, a calibrated worker's escaped-defect rate does not depend on how good the model is; checking time grows with the logarithm of the model's error rate; and over-trust buys minutes on the clock at a larger cost in total minutes.
The increasing adoption of Generative Artificial Intelligence (GenAI) in higher education has created new opportunities to enhance active learning; however, empirical evidence regarding its integration with Problem-Based Learning (PBL) in Engineering Chemistry remains limited, particularly for simultaneously fostering...
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The rapid adoption of generative artificial intelligence (AI), particularly ChatGPT, has transformed learning practices in higher education while raising concerns about student dependency and academic integrity. Although previous studies have primarily examined the effects of AI usage intensity, limited attention has b...
Large language models (LLMs) are increasingly used as user simulators, but can they faithfully reproduce an individual's behavior and decision logic over time? We investigate this question in a longitudinal paper-trading study with 80 participants. Using rolling next-day predictions, we evaluate trading activity, buy-s...
Human-AI experiments vary who receives information, who can act, and who holds decision authority. Precise descriptions of individual studies do not by themselves provide a common language for comparing these arrangements. This conceptual commentary proposes SEED (Structural Encoding for Experimental Discovery), a gram...
Human touch depends on the integration of shape, stiffness, and friction, yet existing tactile displays cannot render these cues together as continuously tunable, high-fidelity signals for intuitive perception. We present ArrayTac, a closed-loop piezoelectric tactile platform that simultaneously renders these three tac...
Engineering graduates in India enter a technology sector that is being reshaped by generative AI, yet the route into that sector runs through examinations and campus placement screens that largely exclude AI. Institutions in India have an approved intake of nearly 2.9 million seats in engineering and technology for 202...
The gap between AI capability deployment and safety assurance is structural and cannot be closed through internal evaluations alone. Analyzing documented harms (2017-2026) across the human lifespan reveals that disparate incidents --- from voice assistants endangering children to AI companions implicated in adolescent...
This work explores a multimodal approach to the alignment of the behavior of open-ended learning autonomous robots with human purposes through the use of large language models as cultural enablers. While autonomous robots can generate their own skills and goals through interaction with the environment, they often lack...
Targeted controls show that tool-invocation scores alone do not establish event grounding and that reminder coverage depends on response history and frequency, and motivate developing and evaluating streaming assistants for timely action, initiative under general user needs, and coverage of entire response sequences.
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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