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Showing 346661 results for "avoidance learning"
AI & Data Science Preprint PDF DOI

Outcome Rewards Do Not Guarantee Verifiable or Causally Important Reasoning

Qinan Yu, Alexa Tartaglini, Peter Hase, Carlos Guestrin, Christopher Potts ยท 2026

Reinforcement Learning from Verifiable Rewards (RLVR) on chain-of-thought reasoning has become a standard part of language model post-training recipes. A common assumption is that the reasoning chainsโ€ฆ

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Computer Science Preprint PDF DOI

Shard the Gradient, Scale the Model: Serverless Federated Aggregation via Gradient Partitioning

Amine Barrak ยท 2026

Federated learning (FL) aggregation on serverless platforms faces a hard scalability ceiling: existing architectures (lambda-FL, LIFL) partition clients across aggregators, but every aggregator must hโ€ฆ

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AI & Data Science Preprint PDF DOI

Optimal Question Selection from a Large Question Bank for Clinical Field Recovery in Conversational Psychiatric Intake

Guan Gui, Peter Zandi, Jacob Taylor, Ananya Joshi ยท 2026

Psychiatric intake is a sequential, high-stakes information-gathering process in which clinicians must decide what to ask, in what order, and how to interpret incomplete or ambiguous responses under lโ€ฆ

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AI & Data Science Preprint PDF DOI

Incentivizing Neuro-symbolic Language-based Reasoning in VLMs via Reinforcement Learning

Karthic Palaniappan ยท 2026

There are 7,407 languages in the world. But, what about the languages that are not there in the world? Are humans so narrow minded that we don't care about the languages aliens communicate in? Aliens โ€ฆ

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AI & Data Science Preprint PDF DOI

Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching

Xiaodi Li, Yang Xiao, Munhwan Lee, Konstantinos Leventakos, Young J. Juhn, David Jones, Terence T. Sio, Wei Liu, Maria Vassilaki, Nansu Zong ยท 2026

Patient-trial matching requires reasoning over long, heterogeneous electronic health records (EHRs) and complex eligibility criteria, posing significant challenges for scalability, generalization, andโ€ฆ

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AI & Data Science Preprint PDF DOI

Learning Coverage- and Power-Optimal Transmitter Placement from Building Maps: A Comparative Study of Direct and Indirect Neural Approaches

Cagkan Yapar ยท 2026

Optimal wireless transmitter placement is a central task in radio-network planning, yet exhaustive search becomes prohibitively expensive at scale. This paper studies the single-transmitter setting unโ€ฆ

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AI & Data Science Preprint PDF DOI

When Policies Cannot Be Retrained: A Unified Closed-Form View of Post-Training Steering in Offline Reinforcement Learning

Elias Hossain, Mohammad Jahid Ibna Basher, Ivan Garibay, Ozlem Garibay, Niloofar Yousefi ยท 2026

Offline reinforcement learning (RL) can learn effective policies from fixed datasets, but deployment objectives may change after training, and in many applications the trained actor cannot be retraineโ€ฆ

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Sociology & Anthropology Preprint PDF DOI

Audio Video Verbal Analysis (AVVA) for Capturing Classroom Dialogues

Vivek Upadhyay, Amaresh Chakrabarti ยท 2026

Background: The classroom discourse analysis has been transformed by the growing use of audio-video multimodal data, which demands analytical methods that balance interpretive depth with computationalโ€ฆ

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AI & Data Science Preprint PDF DOI

Mochi: Aligning Pre-training and Inference for Efficient Graph Foundation Models via Meta-Learning

Joao Mattos, Arlei Silva ยท 2026

We propose Mochi, a Graph Foundation Model that addresses task unification and training efficiency by adopting a meta-learning based training framework. Prior models pre-train with reconstruction-baseโ€ฆ

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Computer Science Preprint PDF DOI

A Systematic AI Adoption Framework for Higher Education: From Student GenAI Usage to Institutional Integration

Michael Neumann, Lasse Bischof, Maria Rauschenberger, Eva-Maria Schon ยท 2026

The rapid development of GenAI technologies is transforming learning, assessment, and academic production in higher education. Despite increasing student adoption, many institutions lack operational mโ€ฆ

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Physics Preprint PDF DOI

Data-Driven Acceleration of Eccentricity Reduction for Binary Black Hole Simulations

Vittoria Tommasini, Nils L. Vu, Mark A. Scheel, Saul A. Teukolsky ยท 2026

Reducing orbital eccentricity in numerical relativity simulations of binary black holes is essential for producing astrophysically relevant gravitational wave models, as many of these systems are expeโ€ฆ

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Neuroscience Preprint PDF DOI

Foundation models for discovering robust biomarkers of neurological disorders from dynamic functional connectivity

Deepank Girish, Yi Hao Chan, Sukrit Gupta, Jing Xia, Jagath C. Rajapakse ยท 2026

Several brain foundation models (FM) have recently been proposed to predict brain disorders by modelling dynamic functional connectivity (FC). While they demonstrate remarkable model performance and zโ€ฆ

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AI & Data Science Preprint PDF DOI

Probing Visual Planning in Image Editing Models

Zhimu Zhou, Yanpeng Zhao, Qiuyu Liao, Bo Zhao, Xiaojian Ma ยท 2026

Visual planning represents a crucial facet of human intelligence, especially in tasks that require complex spatial reasoning and navigation. Yet, in machine learning, this inherently visual problem isโ€ฆ

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Education Preprint PDF DOI

Building an inertia dynamometer with vocational students: a low-budget apparatus for teaching rotational dynamics

Stylianos A. Tsilioukas ยท 2026

We report the design, construction, and classroom use of a low-cost inertia dynamometer, built as a year-long project-based learning (PBL) activity with adult students at a Greek Evening Vocational Hiโ€ฆ

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Physics Preprint PDF DOI

A Physicist's Visit to Exotic Spheres

Tancredi Schettini Gherardini ยท 2026

This thesis discusses exotic 7-spheres, i.e. manifolds that are homeomorphic but not diffeomorphic to the ordinary 7-sphere, using a set of analytical and computational tools from theoretical physics.โ€ฆ

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Computer Science Preprint PDF DOI

Emergent Technology, Emergent Critique: Students and Teachers Developing Critical AI Literacy through Participatory Design around Generative AI

Santiago Ojeda-Ramirez, Eva Durall Gazulla, Kylie Peppler ยท 2026

Who gets to decide how generative AI tools enter students' classrooms? We report on a five-week participatory design program in which three 11th-grade Latinx students and three high school teachers inโ€ฆ

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AI & Data Science Preprint PDF DOI

Multi-Task Optimization over Networks of Tasks

Julian Hatzky, Thomas Bartz-Beielstein, A. E. Eiben, Anil Yaman ยท 2026

Multi-task optimization is a powerful approach for solving a large number of tasks in parallel. However, existing algorithms face distinct limitations: Population-based methods scale poorly and remainโ€ฆ

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Computer Science Preprint PDF DOI

Community-Based AI Learning: Redistributing Artificial Intelligence's Epistemic Authority in Education

Santiago Ojeda-Ramirez, Symone Gyles, Kylie Peppler ยท 2026

As generative AI systems increasingly mediate learning, they are often treated as authoritative sources of knowledge. This perspective paper introduces community-based AI learning as a framework that โ€ฆ

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AI & Data Science Preprint PDF DOI

Seeing Fast and Slow: Learning the Flow of Time in Videos

Yen-Siang Wu, Rundong Luo, Jingsen Zhu, Tao Tu, Ali Farhadi, Matthew Wallingford, Yu-Chiang Frank Wang, Steve Marschner, Wei-Chiu Ma ยท 2026

How can we tell whether a video has been sped up or slowed down? How can we generate videos at different speeds? Although videos have been central to modern computer vision research, little attention โ€ฆ

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AI & Data Science Preprint PDF DOI

Temporal Taskification in Streaming Continual Learning: A Source of Evaluation Instability

Nicolae Filat, Ahmed Hussain, Konstantinos Kalogiannis, Elena Burceanu ยท 2026

Streaming Continual Learning (CL) typically converts a continuous stream into a sequence of discrete tasks through temporal partitioning. We argue that this temporal taskification step is not a neutraโ€ฆ

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