Papers

3,241 in the directory.

Browse AI research papers and methods. Search paper profiles, read recorded summaries and follow source links for the full research.

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AI advice suppresses people's willingness to say "I don't know", even when the advice is wrong and accuracy is incentivized taaft Knowing when to say "I don't know" is fundamental to human judgment, yet AI assistants offer a flue… 2026-07-15 published
AI Agentic Selective Laser Sintering Process Optimization taaft Agentic systems enable the intelligent automation of complex workflows, specific to additive manufa… 2026-08-26 published
AI agents reshape consensus formation in human groups taaft As large language model (LLM) agents shift from tools to participants in human groups, a fundamenta… 2026-09-02 published
AI as Teammate: Rethinking Task Distribution in Medical Training taaft Integrating Artificial Intelligence (AI), particularly generative AI, into medical training has pro… 2026-08-28 published
AI at Work Is Here. Now Comes the Hard Part Microsoft This article presents findings from Microsoft’s Work Trend Index on how generative AI is already be… Microsoft
AI Contextual Measurement for Recovering Individual and Group-Level Effects: Validation Against Survey Measures and an Occupational Application taaft Researchers increasingly use artificial intelligence to construct measures of social, organizationa… 2026-09-02 published
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias IBM Fairness is an increasingly important concern as machine learning models are used to support decisi… 2018-10-03 published
AI for Computational Design Science: A Responsible Human-AI Framework and Case Study on Short-Form Video Safety Surveillance taaft Artificial intelligence (AI) is transforming not only what information systems researchers design,… 2026-09-04 published
AI Slop and Hallucinations in Vulnerability Assessment: A Survey on Reasoning Failures and Trustworthy Mitigation taaft The integration of Large Language Models (LLMs) into cybersecurity has transformed vulnerability as… 2026-08-26 published
AI-enabled Low-Cost 3D Maize Ear Morphometry Platform at Breeding Scale taaft Maize ear geometry (length, width, curvature, and volume) is closely tied to yield and grain-fillin… 2026-08-31 published
AIA$^{2}$: Attribute-Agnostic Imbalance Augmentation for Subgroup Robustness taaft Attributes describing data content and context can induce diverse imbalance patterns that go beyond… 2026-08-31 published
Air-Ground Collaborative Vision-and-Language Navigation via Shared Bird's-Eye Maps taaft Air-ground collaborative Vision-and-Language Navigation (VLN) pairs an unmanned aerial vehicle (UAV… 2026-09-03 published
AlayaWorld: Interactive Long-Horizon World Modeling -- Full Technical Report taaft Unlike conventional video game development, which relies on labor-intensive pipelines for asset pro… 2026-07-20 published
AlayaWorld: Long-Horizon and Playable Video World Generation taaft Game worlds have traditionally been built through labor-intensive production pipelines, making them… 2026-07-07 published
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2seq Model Amazon In this work, we demonstrate that multilingual large-scale sequence-to-sequence (seq2seq) models, p… 2022-08-02 published
Aligned but Flattened: Analyzing the Trade-off between Cultural Alignment and Diversity in LLMs taaft Cultural fine-tuning has become the de facto paradigm for building culture-aware large language mod… 2026-09-01 published
Aligning Multi-Trajectory Supervision with Policy Optimization for VLA Driving taaft Vision-language-action (VLA) driving methods increasingly combine multi-trajectory imitation learni… 2026-08-31 published
Alignment-Free Text-Audiobox for Voice Dubbing and Full-Duplex Dialogue Synthesis taaft We present Alignment-Free Text-Audiobox (Text-AB), a unified framework for high-quality voice dubbi… 2026-09-03 published
All for One and One for All: Improving Music Separation by Bridging Networks taaft This paper proposes several improvements for music separation with deep neural networks (DNNs), nam… 2020-10-08 published
Allocate Before You Embed: Adaptive Visual Input Allocation for Video Embeddings taaft Large-scale video retrieval requires embedding models to encode long and diverse videos under tight… 2026-09-01 published
ALMAB-DC: Active Learning, Multi-Armed Bandits, and Distributed Computing for Sequential Experimental Design and Black-Box Optimization taaft Sequential experimental design under expensive, gradient-free objectives is a central challenge in… 2026-03-22 published
ALPHABET: A Laplace-Pole History Aggregator with Banked Exponential Transport taaft Can a sequence model remain competitive with only a few thousand parameters and an explicitly audit… 2026-08-25 published
AlphaRAD: Grounded Zero-Shot Classification in Chest Radiology via $α$-Corrected Binary Cross Entropy and Factorized Latent Supervision taaft Vision-Language Pretrained Models (VLPMs) offer a scalable path to open-vocabulary chest radiology… 2026-09-01 published
ALRA: Adaptive Local Relational Alignment for Logit-Based Pre-training Distillation of Autoregressive Language Models taaft Logit-based knowledge distillation for autoregressive language models usually aligns teacher and st… 2026-09-03 published
Amortized Anchor Refinement for Deployable Continuous-Time 4D Gaussian Reconstruction taaft Continuous-time 4D reconstruction remains impractical on standalone XR headsets. Per-scene optimiza… 2026-08-31 published
Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks taaft Discrete choice models are fundamental tools in management science, economics, and marketing for un… 2026-03-25 published
Amortized Set Prediction for Inverse IFS Reconstruction from Density Maps taaft Iterated Function Systems (IFS) generate self-similar fractals from a few contractive affine maps.… 2026-08-25 published
An Adversarial Zero-Shot Learning Approach for Anomaly Detection in Multivariate IoT Traffic Data taaft Anomaly detection in Internet of Things (IoT) networks presents unique challenges due to the divers… 2026-09-03 published
An Analysis of Self-supervised Pre-training with Dependent Samples taaft Self-supervised learning relies on so-called data augmentations $φ(x)$ of unlabeled datapoints $x$… 2026-09-04 published
An Analysis of the Impact of Psychological Factors and Techniques Across Different Types of Social Engineering taaft Phishing is a well-known social engineering (SE) type used to trick individuals into revealing pers… 2026-08-26 published
An Attention-based Approach to Hierarchical Multi-label Music Instrument Classification taaft Although music is typically multi-label, many works have studied hierarchical music tagging with si… 2023-02-16 published
An Attention-Guided Global and Local Fusion Framework for Lesion-Focused Image Classification taaft Lesion-focused image classification presents a core analytical challenge, as discriminative signals… 2026-09-04 published
An autonomous debating system (Project Debater) Springer Nature Group Detailed the architecture of the first AI to compete with humans in live debate. It used argument m… Springer Nature Group
An Evaluation Framework for Generating Multi-View Images of a Person in a Scene taaft Recent generative image-editing Diffusion Transformers (DiTs) demonstrate impressive semantic editi… 2026-09-04 published
An Event is Worth One Token: Event Tokenization for Industrial-scale LLM Recommendation taaft LLM-based recommendation has scaled along model capacity and sequence length, yet each position enc… 2026-08-26 published
AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE Google Research While the Transformer architecture has become the de-facto standard for natural language processing… 2020-10-22 published