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Quantum Reinforcement Learning with Transformers for the Capacitated Vehicle Routing Problem
Agent2Agent Threats in Safety-Critical LLM Assistants: A Human-Centric Taxonomy
Beyond Manual Planning: Seating Allocation for Large Organizations
BABE: Biology Arena BEnchmark
OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention
Learning Compact Boolean Networks
TKG-Thinker: Towards Dynamic Reasoning over Temporal Knowledge Graphs via Agentic Reinforcement Learning
STProtein: predicting spatial protein expression from multi-omics data
NEX: Neuron Explore-Exploit Scoring for Label-Free Chain-of-Thought Selection and Model Ranking
FiMI: A Domain-Specific Language Model for Indian Finance Ecosystem
RL-VLA$^3$: Reinforcement Learning VLA Accelerating via Full Asynchronism
RocqSmith: Can Automatic Optimization Forge Better Proof Agents?
LeakBoost: Perceptual-Loss-Based Membership Inference Attack
Mitigating Hallucination in Financial Retrieval-Augmented Generation via Fine-Grained Knowledge Verification
Anchored Policy Optimization: Mitigating Exploration Collapse Via Support-Constrained Rectification
Nonlinearity as Rank: Generative Low-Rank Adapter with Radial Basis Functions
Determining Energy Efficiency Sweet Spots in Production LLM Inference
Graph-based Agent Memory: Taxonomy, Techniques, and Applications
Generative Ontology: When Structured Knowledge Learns to Create
Reactive Knowledge Representation and Asynchronous Reasoning
BhashaSetu: Cross-Lingual Knowledge Transfer from High-Resource to Extreme Low-Resource Languages
Emulating Aggregate Human Choice Behavior and Biases with GPT Conversational Agents
TangramSR: Can Vision-Language Models Reason in Continuous Geometric Space?
Reasoning-guided Collaborative Filtering with Language Models for Explainable Recommendation
Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach
Split Personality Training: Revealing Latent Knowledge Through Alternate Personalities
A Unified Multimodal Framework for Dataset Construction and Model-Based Diagnosis of Ameloblastoma
SDFP: Speculative Decoding with FIT-Pruned Models for Training-Free and Plug-and-Play LLM Acceleration
Phi-Former: A Pairwise Hierarchical Approach for Compound-Protein Interactions Prediction
ALIVE: Awakening LLM Reasoning via Adversarial Learning and Instructive Verbal Evaluation
Refine and Purify: Orthogonal Basis Optimization with Null-Space Denoising for Conditional Representation Learning
Day-Ahead Electricity Price Forecasting for Volatile Markets Using Foundation Models with Regularization Strategy
M$^2$-Miner: Multi-Agent Enhanced MCTS for Mobile GUI Agent Data Mining
THOR: Inductive Link Prediction over Hyper-Relational Knowledge Graphs
H-AdminSim: A Multi-Agent Simulator for Realistic Hospital Administrative Workflows with FHIR Integration
Advancing Opinion Dynamics Modeling with Neural Diffusion-Convection-Reaction Equation
Clinical Validation of Medical-based Large Language Model Chatbots on Ophthalmic Patient Queries with LLM-based Evaluation
RaBiT: Residual-Aware Binarization Training for Accurate and Efficient LLMs
PATHWAYS: Evaluating Investigation and Context Discovery in AI Web Agents
AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction
ProAct: Agentic Lookahead in Interactive Environments
PieArena: Frontier Language Agents Achieve MBA-Level Negotiation Performance and Reveal Novel Behavioral Differences
Aspect-Aware MOOC Recommendation in a Heterogeneous Network
Position: Universal Time Series Foundation Models Rest on a Category Error
Hallucination-Resistant Security Planning with a Large Language Model
Beyond Cosine Similarity
Automatic Cognitive Task Generation for In-Situ Evaluation of Embodied Agents
Explainable AI: A Combined XAI Framework for Explaining Brain Tumour Detection Models
Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink
Traceable Cross-Source RAG for Chinese Tibetan Medicine Question Answering
First Proof
HugRAG: Hierarchical Causal Knowledge Graph Design for RAG
CAST-CKT: Chaos-Aware Spatio-Temporal and Cross-City Knowledge Transfer for Traffic Flow Prediction
SocialVeil: Probing Social Intelligence of Language Agents under Communication Barriers
Democratic Preference Alignment via Sortition-Weighted RLHF
Understanding LLM Evaluator Behavior: A Structured Multi-Evaluator Framework for Merchant Risk Assessment
GAMMS: Graph based Adversarial Multiagent Modeling Simulator
Evaluating Robustness and Adaptability in Learning-Based Mission Planning for Active Debris Removal
VERA-MH: Reliability and Validity of an Open-Source AI Safety Evaluation in Mental Health
Optimizing Mission Planning for Multi-Debris Rendezvous Using Reinforcement Learning with Refueling and Adaptive Collision Avoidance
Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents
Evaluating Large Language Models on Solved and Unsolved Problems in Graph Theory: Implications for Computing Education
MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
DeepRead: Document Structure-Aware Reasoning to Enhance Agentic Search
Artificial Intelligence as Strange Intelligence: Against Linear Models of Intelligence
Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems
Toward Effective Multimodal Graph Foundation Model: A Divide-and-Conquer Based Approach
Tinker Tales: Supporting Child-AI Collaboration through Co-Creative Storytelling with Educational Scaffolding
Structure-Informed Estimation for Pilot-Limited MIMO Channels via Tensor Decomposition
Principles of Lipschitz continuity in neural networks
PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
Understanding and Guiding Layer Placement in Parameter-Efficient Fine-Tuning of Large Language Models
PromptSplit: Revealing Prompt-Level Disagreement in Generative Models
Rational ANOVA Networks
When Chains of Thought Don't Matter: Causal Bypass in Large Language Models
DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks
Transformers perform adaptive partial pooling
Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors
Structural shifts in institutional participation and collaboration within the AI arXiv preprint research ecosystem
Semantic Rate Distortion and Posterior Design: Compute Constraints, Multimodality, and Strategic Inference
Linguistic Blind Spots in Clinical Decision Extraction
First-Principles AI finds crystallization of fractional quantum Hall liquids
WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling
SpecMD: A Comprehensive Study On Speculative Expert Prefetching
Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Science
Entropy-Aware Structural Alignment for Zero-Shot Handwritten Chinese Character Recognition
HY3D-Bench: Generation of 3D Assets
GeoIB: Geometry-Aware Information Bottleneck via Statistical-Manifold Compression
All-Atom GPCR-Ligand Simulation via Residual Isometric Latent Flow
Byzantine Machine Learning: MultiKrum and an optimal notion of robustness
Vision Transformers for Zero-Shot Clustering of Animal Images: A Comparative Benchmarking Study
Audit After Segmentation: Reference-Free Mask Quality Assessment for Language-Referred Audio-Visual Segmentation
Sounding Highlights: Dual-Pathway Audio Encoders for Audio-Visual Video Highlight Detection
Explainable Computer Vision Framework for Automated Pore Detection and Criticality Assessment in Additive Manufacturing
PriorProbe: Recovering Individual-Level Priors for Personalizing Neural Networks in Facial Expression Recognition
DiGAN: Diffusion-Guided Attention Network for Early Alzheimer's Disease Detection
TruKAN: Towards More Efficient Kolmogorov-Arnold Networks Using Truncated Power Functions
GOPO: Policy Optimization using Ranked Rewards
Reversible Deep Learning for 13C NMR in Chemoinformatics: On Structures and Spectra
Decoding Ambiguous Emotions with Test-Time Scaling in Audio-Language Models
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