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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Object Counting Across Modalities: Taxonomies, Benchmarks, Applications, and Open Challenges taaft Object-counting methods have rapidly shifted from class-specific density regression to open-vocabul… 2026-08-24 published
Object Pose Transformer: Unifying Unseen Object Pose Estimation taaft Learning model-free object pose estimation for unseen instances remains a fundamental challenge in… 2026-03-24 published
OBJECTION! Lawyer Agents Mitigate Guilty Bias in Legal Judgment Prediction taaft Legal Judgment Prediction (LJP) models are typically trained on documents that describe facts from… 2026-09-02 published
Observation-Conditioned Latent Energy Priors for Sparse Implicit Neural Shape Completion taaft Implicit neural representations (INRs) can model continuous 3D shapes with a shared coordinate deco… 2026-09-03 published
OCC-RAG: Optimal Cognitive Core for Faithful Question Answering taaft Recent progress in the development of language models has been defined by scale, with each generati… 2026-05-30 published
Occlusion-Robust Multimodal Emotion Recognition in VR via Fusion of Facial Images and EMG taaft Head-mounted displays (HMDs) fundamentally limit emotion recognition in virtual reality (VR): by oc… 2026-09-03 published
Occupancy Networks: Learning 3D Reconstruction in Function Space taaft With the advent of deep neural networks, learning-based approaches for 3D reconstruction have gaine… 2018-12-10 published
Occupancy-based Quantile Risk Control taaft Conformal risk control is an emerging framework for the safe deployment of machine learning models… 2026-09-02 published
OCP: Orthogonal Constrained Projection for Sparse Scaling in Industrial Commodity Recommendation taaft In industrial commodity recommendation systems, the representation quality of Item-Id vocabularies… 2026-03-19 published
OCR-EDR: Rendering-Aware Diagnosis and Repair for Closed-Loop OCR Improvement taaft Although document OCR systems perform increasingly well on routine documents, complex formulas, str… 2026-09-03 published
OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization taaft The key-value (KV) cache dominates memory bandwidth and footprint in long-context autoregressive in… 2026-05-20 published
OctWorld: Long-Range World-Consistent Video Generation with Octree-Based 3D Mapping taaft We present OctWorld, a video diffusion framework with persistent 3D memory for generating explorabl… 2026-09-03 published
oHC: Orthogonal Hyper-Connections on SO(4) via Quaternions taaft Hyper-Connections (HC) replace the single residual stream of a Transformer with $n$ parallel ones,… 2026-09-02 published
OHTA: One-shot Hand Avatar via Data-driven Implicit Priors taaft In this paper, we delve into the creation of one-shot hand avatars, attaining high-fidelity and dri… 2024-02-29 published
OmniJudge or OmniBias? Diagnosing Multimodal Judges through Balanced, Decoupled Lenses taaft Multimodal understanding models that can jointly judge text-to-image (T2I), text-to-video (T2V) and… 2026-08-25 published
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search Pinterest In this paper, we present OmniSearchSage, a versatile and scalable system for understanding search… 2024-04-25 published
OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation taaft In this work, we study Human-Object Interaction Video Generation (HOIVG), which aims to synthesize… 2026-04-13 published
On Epistemic Diversity in Large Language Models taaft Large language models (LLMs) are increasingly used not only to retrieve information, but to answer… 2026-09-04 published
On Gossip Algorithms for Machine Learning with Pairwise Objectives taaft In the IoT era, information is more and more frequently picked up by connected smart sensors with i… 2026-03-25 published
On Locality and Length Generalization in Visual Reasoning taaft A striking feature of the human visual system is that it ingests visual information through a serie… 2026-07-10 published
On Optimizing Multimodal Jailbreaks for Spoken Language Models taaft As Spoken Language Models (SLMs) integrate speech and text modalities, they inherit the safety vuln… 2026-03-19 published
On the Complexity of Optimal Graph Rewiring for Oversmoothing and Oversquashing in Graph Neural Networks taaft Graph Neural Networks (GNNs) face two fundamental challenges when scaled to deep architectures: ove… 2026-03-27 published
On the Computational and Statistical Efficiency of the Empirical Maximum Entropy on the Mean Method taaft The Maximum Entropy on the Mean (MEM) method provides a flexible computational framework for solvin… 2026-08-27 published
On the Design Fundamentals of Pixel Text Representation Learning taaft Text-rich visual inputs require models that can read, retrieve, and compress language directly in p… 2026-09-01 published
On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability taaft We describe the architecture and ablations of Qwen3.8-Flash-Next, a sparse mixture-of-experts model… 2026-08-31 published
On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization taaft The emergence of various notions of ``consistency'' in diffusion models has garnered considerable a… 2023-06-01 published
On the Identifiability of Nonlinear ICA: Sparsity and Beyond taaft Nonlinear independent component analysis (ICA) aims to recover the underlying independent latent so… 2022-06-15 published
On the Interaction Between Model Compression and Test-Time Adaptation taaft Deep neural networks deployed in the wild must be both efficient and adaptable, requiring model com… 2026-09-03 published
On the Language Encoder of Contrastive Cross-modal Models taaft Contrastive cross-modal models such as CLIP and CLAP aid various vision-language (VL) and audio-lan… 2023-10-20 published
On the Objective and Feature Weights of Minkowski Weighted k-Means taaft The Minkowski weighted $k$-means ($mwk$-means) algorithm extends classical $k$-means by incorporati… 2026-03-26 published
On the Performance of Multimodal Language Models taaft Instruction-tuned large language models (LLMs) have demonstrated promising zero-shot generalization… 2023-10-04 published
On the Plasticity Collapse in Continual Machine Unlearning taaft Machine unlearning enables deep neural networks to selectively remove the influence of specific dat… 2026-08-30 published
On the Recoverability of Private Information Unlearning in Large Language Models taaft Large language models (LLMs) can memorize sensitive information, raising serious privacy concerns.… 2026-08-30 published
On the Resilience of Text-to-Video Diffusion Models to Hardware Faults taaft We present the first systematic study of the resilience of text-to-video (T2V) diffusion models und… 2026-08-30 published
On the Role of MRI Sequences in Cross-Dataset Generalization for Brain Tumor Segmentation taaft Brain tumor segmentation in magnetic resonance imaging (MRI) is a critical task for diagnosis and t… 2026-08-30 published
On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models taaft High-quality labeled datasets play a crucial role in fueling the development of machine learning (M… 2021-07-31 published