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Research

Instance Discrimination for Link Prediction

DGX agent

arXiv:2605.20257v1 Announce Type: new Abstract: Recently, instance discrimination models have emerged as a major solution for self-supervised learning. Having already demonstrated its effectiveness in

researcharxiv-cs-lg

21 May 2026

Hardware

Instant GPU Efficiency Visibility at Fleet Scale

DGX agent

arXiv:2605.20799v1 Announce Type: cross Abstract: We present Overall FLOP Utilization (OFU), a hardware-level, precision-agnostic GPU efficiency metric for AI workloads on HPC systems, derived from tw

All entries

Instance Discrimination for Link Prediction

Instant GPU Efficiency Visibility at Fleet Scale

Intent-First Aerial V2V for Tactical Coordination and Separation: Protocol and Performance Under Density and Disturbance

Interaction Locality in Hierarchical Recursive Reasoning

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling

Interpretable Discriminative Text Representations via Agreement and Label Disentanglement

Introspective X Training: Feedback Conditioning Improves Scaling Across all LLM Training Stages

iReasoner: Trajectory-Aware Intrinsic Reasoning Supervision for Self-Evolving Large Multimodal Models

Is Fixing Schema Graphs Necessary? Full-Resolution Graph Structure Learning for Relational Deep Learning

It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs

Iterative LLM-based improvement for French Clinical Interview Transcription and Speaker Diarization

iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance

JFAA: Technical Report for the EPIC-KITCHENS-100 Action Anticipation Challenge at EgoVis 2026

JobArabi: An Arabic Corpus and Analysis of Job Announcements from Social Media

Jointly Learning Predicates and Actions Enables Zero-Shot Skill Composition

JUDO: A Juxtaposed Domain-Oriented Multimodal Reasoner for Industrial Anomaly QA

LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models

LamPO: A Lambda Style Policy Optimization for Reasoning Language Models

Large Language Models Unpack Complex Political Opinions through Target-Stance Extraction

Large-Step Training Dynamics of a Two-Factor Linear Transformer Model

LASH: Adaptive Semantic Hybridization for Black-Box Jailbreaking of Large Language Models

Latent Dynamics for Full Body Avatar Animation

Latent Geometry as a Structural Monitor: Eigenspace Alignment for Anomaly Detection in Anonymity Networks

Latent Process Generator Matching

Latent Space Guided Scenario Sampling for Multimodal Segmentation Under Missing Modalities

Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search

LEAP: A closed-loop framework for perovskite precursor additive discovery

Learning Dynamics from Infrequent Output Measurements for Uncertainty-Aware Optimal Control

Learning First Integrals via Backward-Generated Data and Guided Reinforcement Learning

Learning fMRI activations dictionaries across individual geometries via optimal transport

Learning Incentive Structures for Cooperative Resilience in Multi-Agent Systems under Social Dilemmas

Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory

Learning Robust Dexterous In-Hand Manipulation from Joint Sensors with Proprioceptive Transformer

Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation

Learning to Defer in Non-Stationary Time Series via Switching State-Space Models

Learning-to-Defer with Expert-Conditional Advice

Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment

LER-YOLO: Reliability-Aware Expert Routing for Misaligned RGB-Infrared UAV Detection

Less Data, Faster Training: repeating smaller datasets speeds up learning via sampling biases

Let EEG Models Learn EEG

Letting Trajectories Spread: Quality-Preserving Control for Diverse Flow Matching

Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token

Leveraging LLMs for Grammar Adaptation: A Study on Metamodel-Grammar Co-Evolution

Leveraging Vision-Language Models to Detect Attention in Educational Videos

Lighting-aware Unified Model for Instance Segmentation

Linear-DPO: Linear Direct Preference Optimization for Diffusion and Flow-Matching Generative Models

Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex

LiteViLNet: Lightweight Vision-LiDAR Fusion Network for Efficient Road Segmentation