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arXiv cs.AI Research & Papers
Agent Learning via Early Experience
arXiv cs.AI Research & Papers
False Fixed Points: Kantian Feedback, Stable Miscalibration, and Representational Compres…
arXiv cs.AI Research & Papers
Voting with the Graph: Stable RLAIF via Topological Consistency Maximization
arXiv cs.AI Research & Papers
Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering
arXiv cs.AI Research & Papers
FloorplanQA: A Benchmark for Spatial Reasoning in LLMs using Structured Representations
arXiv cs.AI Research & Papers
Hide-and-Shill: A Reinforcement Learning Framework for Market Manipulation Detection in S…
arXiv cs.AI Research & Papers
From Multi-Agent Systems and the Semantic Web to Agentic AI: A Unified Narrative of the W…
arXiv cs.AI Research & Papers
Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning
arXiv cs.AI Research & Papers
Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation
arXiv cs.AI Research & Papers
Beyond Summaries: Structure-Aware Labeling of Code Changes with Large Language Models
arXiv cs.AI Research & Papers
Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark
arXiv cs.AI Research & Papers
OrpQuant: Geometric Orthogonal Residual Projection for Multiplier-Free Power-of-Two Trans…
arXiv cs.AI Research & Papers
DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models
arXiv cs.AI Research & Papers
Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language …
arXiv cs.AI Research & Papers
AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models
arXiv cs.AI Research & Papers
Retrieval-Augmented Detection of Potentially Abusive Clauses in Chilean Terms of Service
arXiv cs.AI Research & Papers
A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot…
arXiv cs.AI Research & Papers
Step-TP: A Grounded, Step-Level Dataset with Chain-of-Thought Reasoning for LLM-Guided Te…
arXiv cs.AI Research & Papers
From Latent Space to Training Data: Explainable Specialization in Minimal MLPs
arXiv cs.AI Research & Papers
Explaining Too Much? Understanding How Large Language Model Reasoning Traces Influence Pe…
arXiv cs.AI Research & Papers
TTPrint: Evidence-Grounded TTP Extraction via Diverge-then-Converge Verification
arXiv cs.AI Research & Papers
Geometric Evolution Maps: Extracting Stable Concept Probes from Transformer Residual Stre…
arXiv cs.AI Research & Papers
Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resol…
arXiv cs.AI Research & Papers
NPSolver: Neural Poisson Solver with Iterative Physics Supervision
arXiv cs.AI Research & Papers
How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Func…
arXiv cs.AI Research & Papers
DeGRe: Dense-supervised Generative Reranking for Recommendation
arXiv cs.AI Research & Papers
Benchmarking Pathology Foundation Models for Spatial Domain Understanding
arXiv cs.AI Research & Papers
Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion …
arXiv cs.AI Research & Papers
Meta-Engineering Harnesses for AI-Native Software Production: A Contract-Driven Adversari…
arXiv cs.AI Models & Releases
Fine-Tuning and Serving Gemma 4 31B on Google Cloud TPU: A Technical Comparison with GPU …