Large Language Models

Geometric Mixture-of-Experts with Curvature-Guided Adaptive Routing for Graph Representation Learning

From Instructions to Assistance: a Dataset Aligning Instruction Manuals with Assembly Videos for Evaluating Multimodal LLMs

AEGIS: An Operational Infrastructure for Post-Market Governance of Adaptive Medical AI Under US and EU Regulations

A Multi-Task Targeted Learning Framework for Lithium-Ion Battery State-of-Health and Remaining Useful Life

DAQ: Delta-Aware Quantization for Post-Training LLM Weight Compression

AgentSLR: Automating Systematic Literature Reviews in Epidemiology with Agentic AI

Trained Persistent Memory for Frozen Decoder-Only LLMs

Large Language Models for Missing Data Imputation: Understanding Behavior, Hallucination Effects, and Control Mechanisms

Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation

Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation

Graphs RAG at Scale: Beyond Retrieval-Augmented Generation With Labeled Property Graphs and Resource Description Framework for Complex and Unknown Search Spaces

T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search

WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement

Early Discoveries of Algorithmist I: Promise of Provable Algorithm Synthesis at Scale

MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Ratio Maximization and Establishing the Equivalence between Classifier-Free Guidance and Alignment Objectives

Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection

Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks

Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context Window

FAAR: Format-Aware Adaptive Rounding for NVFP4

Three Creates All: You Only Sample 3 Steps

AI Co-Scientist for Ranking: Discovering Novel Search Ranking Models alongside LLM-based AI Agents with Cloud Computing Access

Instruction-Tuned, but Not More Verifiable Instruction-Following: A Cross-Task Diagnosis for LoRA Adapters

Learning When to Act: Interval-Aware Reinforcement Learning with Predictive Temporal Structure

Latent Style-based Quantum Wasserstein GAN for Drug Design

CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation

Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs

LLM-guided headline rewriting for clickability enhancement without clickbait

Stability-Preserving Online Adaptation of Neural Closed-loop Maps

Functional Component Ablation Reveals Specialization Patterns in Hybrid Language Model Architectures

Cognitive Training for Language Models: Towards General Capabilities via Cross-Entropy Games

Tiny Inference-Time Scaling with Latent Verifiers

Do Large Language Models Reduce Research Novelty? Evidence from Information Systems Journals

LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface

GraphRAG for Engineering Diagrams: ChatP&ID Enables LLM Interaction with P&IDs

Ego2Web: A Web Agent Benchmark Grounded in Egocentric Videos

STRIATUM-CTF: A Protocol-Driven Agentic Framework for General-Purpose CTF Solving

Lie to Me: How Faithful Is Chain-of-Thought Reasoning in Reasoning Models?

flexvec: SQL Vector Retrieval with Programmatic Embedding Modulation

Language Models Can Explain Visual Features via Steering

Do Consumers Accept AIs as Moral Compliance Agents?

To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models

Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals

AwesomeLit: Towards Hypothesis Generation with Agent-Supported Literature Research

PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset

KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-Hoc Cooperative LLM Training

DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-Persona

From Overload to Convergence: Supporting Multi-Issue Human-AI Negotiation with Bayesian Visualization

From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips