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Research

Isometry pursuit

DGX agent

arXiv:2411.18502v2 Announce Type: replace-cross Abstract: Isometry pursuit is a convex algorithm for identifying orthonormal column-submatrices of wide matrices. It consists of a novel normalization m

researcharxiv-cs-ai

28 May 2026

Research

Iterative Causal Discovery: Per-Edge Impossibility Certificates, Tier-Aware Oracle Queries, and the 1+K Lower Bound

DGX agent

arXiv:2605.27477v1 Announce Type: cross Abstract: Causal-discovery algorithms return a directed graph, yet provide no principled means of distinguishing edge directions identified by the data from tho

All entries

Isometry pursuit

Iterative Causal Discovery: Per-Edge Impossibility Certificates, Tier-Aware Oracle Queries, and the 1+K Lower Bound

Janus-LoRA: A Balanced Low-Rank Adaptation for Continual Learning

JECA^2: Judgment-Explanation Consistent Adversarial Attack against Forensic Vision-Language Models

JMedEthicBench: A Multi-Turn Conversational Benchmark for Evaluating Medical Safety in Japanese Large Language Models

Joint Training of Multi-Token Prediction in Reinforcement Learning via Optimal Coefficient Calibration

Keyphrase Generative Representation of Youth Crisis Conversations Beyond Static Taxonomies

Knowing When to Ask: Segment-Level Credit Assignment for LLM Tool Use

Knowledge Dependency Estimation for Reliable Question Answering

KSAFE-MM: A Multimodal Safety Benchmark via Localized Contextualization for Korean Cultural Risks

KVoiceBench, KOpenAudioBench, and KMMAU: Agent-Driven Korean Speech Benchmarks for Evaluating SpeechLMs

La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching

LACUNA: Safe Agents as Recursive Program Holes

Laguna M.1/XS.2 Technical Report

LaneRoPE: Positional Encoding for Collaborative Parallel Reasoning and Generation

Large Language Models Approach Expert Pedagogical Quality in Math Tutoring but Differ in Instructional and Linguistic Profiles

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis

Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States

Latent Diffusion for Missing Data

Law of Neural Interaction: Depth-Width Shape, Interaction Efficiency, and Generalization

LCO: LLM-based Constraint Optimization for Safer Agentic LLMs in Real-world Tasks

Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents

Learn from your own latents and not from tokens: A sample-complexity theory

Learning a Kinodynamic Trajectory Manifold for Impact-Aware Compliant Catching of Fast-Moving Objects

Learning after COVID-19 and the ICT career aspirations: Are students entering the AI era with weaker skills?

Learning Compositional Latent Structure with Vector Networks

Learning Correlated Reward Models: Statistical Barriers and Opportunities

Learning Deliberately, Acting Intuitively: Unlocking Test-Time Reasoning in Multimodal LLMs

Learning High-Dimensional Parity Functions with Product Networks using Gradient Descent

Learning Logical Operations for Arbitrary Quantum Error Correction Codes

Learning Tangent Bundles and Characteristic Classes with Autoencoder Atlases

Learning the Error Patterns of Language Models

Learning Theory of the SVRG: Generalization and Convergence Analysis

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization

Learning to Assign Prediction Tasks to Agents with Capacity Constraints

Learning to Bid in Repeated Second-Price Auctions with Dynamic Values and Aggregated Feedback

Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression Segmentation

Learning to target with network interference

Learning to Translate from Soft to Hard LLM Prompts

Learning What to Recommend: Minimax Optimal Simple Regret in Logistic Bandits

Learning When to Optimize: Verified Optimization Skills from Expert GPU-Kernel Lineages

Learning with Importance Weighted Variational Inference

LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning

LEIA: Learned Environment for Interactive Architected Materials

LESA: Learnable Stage-Aware Predictors for Diffusion Model Acceleration

Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection

Let the Results Speak: A Replication-First Paradigm for LLM Behavioral Benchmarking

LiDDA: Data Driven Attribution at LinkedIn