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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Ideation Arena: Evaluating LLM Generated Research Ideas with Battle-style Human Expert Assessment taaft Evaluating research ideas generated by LLMs is difficult because their scientific value cannot be f… 2026-08-30 published
IDEEA: training-free Input-Dependent stEEring via Activation cluster matching taaft Steering aligns large language models (LLMs) by injecting a bias into selected activations at infer… 2026-09-02 published
Identity as Presence: Towards Appearance and Voice Personalized Joint Audio-Video Generation taaft Recent advances in video synthesis have enabled realistic integration of real individuals, driving… 2026-03-18 published
Identity-Conditioned Latent Consistency Distillation for Face Synthesis taaft Diffusion models have achieved strong results in high-fidelity image synthesis, but their iterative… 2026-08-31 published
IDSPACE: A Novel Document Generator for Reliable Evaluation of Digital Identity Verification Systems [Extended Technical Report] taaft As services move online, trust institutions such as banks, lenders, and governments must verify the… 2026-09-02 published
If It Moves, Radar Knows: A Physics-Aware Radar Transformer for Class-Agnostic Moving-Object Detection taaft Detectors trained on closed-set annotations can miss rare moving objects outside the training taxon… 2026-09-02 published
IFW-BLS: Dual-Robust Broad Learning System with Intuitionistic Fuzzy Wave Loss taaft Broad Learning System is an efficient randomized learning model that expands network width through… 2026-09-02 published
IJmond Industrial Smoke Segmentation Dataset taaft This report describes a dataset for industrial smoke segmentation, published on a figshare reposito… 2026-03-24 published
Image Difference Quantification Using Autoencoder-Based Latent Representations taaft Traditional image similarity metrics such as Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (… 2026-08-25 published
Image Super-Resolution via Iterative Refinement taaft We present SR3, an approach to image Super-Resolution via Repeated Refinement. SR3 adapts denoising… 2021-04-15 published
Image-based Quantification of Postural Deviations on Patients with Cervical Dystonia: A Machine Learning Approach Using Synthetic Training Data taaft Cervical dystonia (CD) is the most common form of dystonia, yet current assessment relies on subjec… 2026-03-27 published
IMAGEBIND: One Embedding Space To Bind Them Al Meta Platforms We present ImageBind, an approach to learn a joint embedding across six different modalities - imag… 2023-05-09 published
ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation taaft We present an overview of the ImageEval 2026 shared task on culturally grounded Arabic multimodal e… 2026-08-31 published
Imagen Video: High Definition Video Generation with Diffusion Models taaft We present Imagen Video, a text-conditional video generation system based on a cascade of video dif… 2022-10-05 published
Imagic: Text-Based Real Image Editing with Diffusion Models taaft Text-conditioned image editing has recently attracted considerable interest. However, most methods… 2022-10-17 published
ImmSET: Sequence-Based Predictor of TCR-pMHC Specificity at Scale taaft T cells are a critical component of the adaptive immune system, playing a role in infectious diseas… 2026-03-27 published
Impact of Data Loss in Postprocessing on Training and Inference of Quantum Neural Networks taaft As quantum hardware scales to larger devices, the classical software layers that interface with it… 2026-09-04 published
Implementation of tangent linear and adjoint models for neural networks based on a compiler library tool taaft This paper presents TorchNWP, a compilation library tool for the efficient coupling of artificial i… 2026-03-17 published
Implementing neural network mixed-effects models in Template Model Builder (TMB) taaft Neural network mixed-effects models (NMMs) have gained traction by combining the strong representat… 2026-08-31 published
Implicit Neural Representations with Periodic Activation Functions taaft Implicitly defined, continuous, differentiable signal representations parameterized by neural netwo… 2020-06-17 published
Implicit Q-learning-bootstrapped ant colony optimization for maritime moving-target observation scheduling with agile satellites taaft Maritime moving-target observation scheduling with agile Earth observation satellites is a dynamic,… 2026-08-25 published
Import What You Need: Learning When and How to Augment EHR Graphs with External Knowledge taaft Longitudinal prediction from electronic health records (EHRs) is limited by the sparsity and irregu… 2026-09-01 published
Improved Automatic Target Recognition in Synthetic Aperture Sonar Imagery Using Large Deep Neural Networks taaft Automatic Target Recognition (ATR) in Synthetic Aperture Sonar (SAS) is a task largely dominated by… 2026-09-01 published
Improved Gradient Descent Lower Bounds Beyond Nesterov taaft We study how far gradient descent (GD) can be accelerated by predetermined stepsizes in smooth conv… 2026-09-02 published
Improving Argument Saliency Coverage in Small LLMs for Long Legal Opinion Summarization via Sequence-Level Distillation taaft We show that sequence-level distillation from a capable long-context teacher model is a simple, ann… 2026-08-30 published
Improving Clinical Target Volume Segmentation Accuracy using Anatomical Priors and Active Learning for the AGITG TOPGEAR Clinical Trial taaft Training deep learning-based medical image segmentation models is challenging with limited curated… 2026-09-02 published
Improving CLIP Training with Language Rewrites taaft Contrastive Language-Image Pre-training (CLIP) stands as one of the most effective and scalable met… 2023-05-31 published
Improving Evaluation Realism with Inference-Time Compute and Deployment Scaffolds taaft A core obstacle to alignment evaluation is evaluation awareness: capable models can tell when they… 2026-09-02 published
Improving Health Literacy through Lay Summarization of Radiological Reports: An Evaluation of BioNER and Retrieval-Augmented Generation taaft Radiology reports are written primarily for clinicians, and their specialized terminology often mak… 2026-09-02 published
Improving Information Extraction with Learned Queries taaft When information extraction fails, a natural instinct is to improve the model doing it: for example… 2026-08-31 published
Improving Joint Audio-Video Generation with Cross-Modal Context Learning taaft The dual-stream transformer architecture-based joint audio-video generation method has become the d… 2026-03-19 published
Improving Language Identification for Code-Switched Utterances with Integer Linear Programming taaft Automatic identification of code-switched (CS) utterances remains a challenge for language identifi… 2026-09-04 published
Improving language models by retrieving from trillions of tokens Google DeepMind Augments transformer language models with retrieval over trillions of tokens from web, books, news,… Google DeepMind
Improving Language Understanding by Generative Pre-Training (GPT-1) OpenAI Introduced the first Generative Pre-trained Transformer. It demonstrated that a diverse corpus of u… OpenAI
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing taaft While prior research has proposed a plethora of methods that build neural classifiers robust agains… 2023-01-29 published
Improving the matrix multiplication exponent with modern optimization and AlphaEvolve taaft The current best bounds on the matrix multiplication exponent $ω$ are obtained through a refinement… 2026-08-17 published