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GENIUS: Generative Fluid Intelligence Evaluation Suite

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Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling

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Implicit Probabilistic Reasoning Does Not Reflect Explicit Answers in Large Language Models

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Metareasoning in uncertain environments: a meta-BAMDP framework

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Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations

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HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation

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Is Your LLM Really Mastering the Concept? A Multi-Agent Benchmark

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Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs

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PhysUniBench: A Multi-Modal Physics Reasoning Benchmark at Undergraduate Level

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Scaling Towards the Information Boundary of Instruction Sets: The Infinity Instruct Subject Technical Report

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Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models

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Measuring What Matters: The AI Pluralism Index

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Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model

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Retrieval- and Argumentation-Enhanced Multi-Agent LLMs for Judgmental Forecasting (Extended Version with Supplementary Material)

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PreferThinker: Reasoning-based Personalized Image Preference Assessment

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CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents

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The Specification Trap: Why Content-Based AI Value Alignment Cannot Produce Robust Alignment

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Beyond Gemini-3-Pro: Revisiting LLM Routing and Aggregation at Scale

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Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms

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Meta Context Engineering via Agentic Skill Evolution

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World of Workflows: A Benchmark for Bringing World Models to Enterprise Systems

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From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics

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Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility

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Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink

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PieArena: Frontier Language Agents Achieve MBA-Level Negotiation Performance and Reveal Novel Behavioral Differences

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Progress Constraints for Reinforcement Learning in Behavior Trees

Progress Constraints for Reinforcement Learning in Behavior Trees

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EventCast: Hybrid Demand Forecasting in E-Commerce with LLM-Based Event Knowledge

EventCast: Hybrid Demand Forecasting in E-Commerce with LLM-Based Event Knowledge

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MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learning

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From Assistant to Double Agent: Formalizing and Benchmarking Attacks on OpenClaw for Personalized Local AI Agent

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Reinforcement Inference: Leveraging Uncertainty for Self-Correcting Language Model Reasoning

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Why do we Trust Chatbots? From Normative Principles to Behavioral Drivers

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Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learning

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SpotAgent: Grounding Visual Geo-localization in Large Vision-Language Models through Agentic Reasoning

SpotAgent: Grounding Visual Geo-localization in Large Vision-Language Models through Agentic Reasoning

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ClinAlign: Scaling Healthcare Alignment from Clinician Preference

ClinAlign: Scaling Healthcare Alignment from Clinician Preference

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CODE-SHARP: Continuous Open-ended Discovery and Evolution of Skills as Hierarchical Reward Programs

CODE-SHARP: Continuous Open-ended Discovery and Evolution of Skills as Hierarchical Reward Programs

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Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning

Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning

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Structured Sentiment Analysis as Transition-based Dependency Graph Parsing

Structured Sentiment Analysis as Transition-based Dependency Graph Parsing

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Games with Payments between Learning Agents

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Tensor learning with orthogonal, Lorentz, and symplectic symmetries

Tensor learning with orthogonal, Lorentz, and symplectic symmetries

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Towards Better Code Understanding in Decoder-Only Models with Contrastive Learning

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Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models

Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models

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ZebraPose: Zebra Detection and Pose Estimation using only Synthetic Data

ZebraPose: Zebra Detection and Pose Estimation using only Synthetic Data

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Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping

Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping

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When Speculation Spills Secrets: Side Channels via Speculative Decoding In LLMs

When Speculation Spills Secrets: Side Channels via Speculative Decoding In LLMs

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Symmetrization Weighted Binary Cross-Entropy: Modeling Perceptual Asymmetry for Human-Consistent Neural Edge Detection

Symmetrization Weighted Binary Cross-Entropy: Modeling Perceptual Asymmetry for Human-Consistent Neural Edge Detection

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Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs

Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs

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