Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models
Paper
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2512.24618
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Published
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142
2026
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Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Paper • 2512.24873 • Published • 103 -
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Paper • 2512.23343 • Published • 28 -
Scaling Open-Ended Reasoning to Predict the Future
Paper • 2512.25070 • Published • 16 -
Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process
Paper • 2512.23988 • Published • 16 -
Figure It Out: Improving the Frontier of Reasoning with Active Visual Thinking
Paper • 2512.24297 • Published • 6 -
Valori: A Deterministic Memory Substrate for AI Systems
Paper • 2512.22280 • Published • 4 -
Improving Multi-step RAG with Hypergraph-based Memory for Long-Context Complex Relational Modeling
Paper • 2512.23959 • Published • 109 -
Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
Paper • 2512.24617 • Published • 61 -
Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization
Paper • 2512.24615 • Published • 118 -
Nested Learning: The Illusion of Deep Learning Architectures
Paper • 2512.24695 • Published • 41 -
SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement Learning
Paper • 2512.24330 • Published • 35 -
The Reasoning-Creativity Trade-off: Toward Creativity-Driven Problem Solving
Paper • 2601.00747 • Published • 20 -
Diversity or Precision? A Deep Dive into Next Token Prediction
Paper • 2512.22955 • Published • 8 -
Fast-weight Product Key Memory
Paper • 2601.00671 • Published • 5 -
Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits
Paper • 2512.20578 • Published • 83 -
Can We Trust AI Explanations? Evidence of Systematic Underreporting in Chain-of-Thought Reasoning
Paper • 2601.00830 • Published • 3 -
SimpleMem: Efficient Lifelong Memory for LLM Agents
Paper • 2601.02553 • Published • 37 -
Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling
Paper • 2601.02346 • Published • 26 -
OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment
Paper • 2601.01576 • Published • 18 -
Confidence Estimation for LLMs in Multi-turn Interactions
Paper • 2601.02179 • Published • 16 -
CPPO: Contrastive Perception for Vision Language Policy Optimization
Paper • 2601.00501 • Published • 7 -
Project Ariadne: A Structural Causal Framework for Auditing Faithfulness in LLM Agents
Paper • 2601.02314 • Published • 2 -
UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision
Paper • 2601.03193 • Published • 46 -
NitroGen: An Open Foundation Model for Generalist Gaming Agents
Paper • 2601.02427 • Published • 43 -
MindWatcher: Toward Smarter Multimodal Tool-Integrated Reasoning
Paper • 2512.23412 • Published • 39 -
CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving
Paper • 2601.01874 • Published • 19 -
Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models
Paper • 2601.01321 • Published • 18 -
WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks
Paper • 2601.02439 • Published • 16 -
Large Reasoning Models Are (Not Yet) Multilingual Latent Reasoners
Paper • 2601.02996 • Published • 5 -
Steerability of Instrumental-Convergence Tendencies in LLMs
Paper • 2601.01584 • Published • 1 -
Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting
Paper • 2601.02151 • Published • 102 -
Evolving Programmatic Skill Networks
Paper • 2601.03509 • Published • 81 -
Atlas: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning
Paper • 2601.03872 • Published • 42 -
Agentic Rubrics as Contextual Verifiers for SWE Agents
Paper • 2601.04171 • Published • 11 -
MDAgent2: Large Language Model for Code Generation and Knowledge Q&A in Molecular Dynamics
Paper • 2601.02075 • Published • 8 -
Why LLMs Aren't Scientists Yet: Lessons from Four Autonomous Research Attempts
Paper • 2601.03315 • Published • 6 -
MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents
Paper • 2601.03236 • Published • 3 -
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Paper • 2601.05242 • Published • 210 -
RelayLLM: Efficient Reasoning via Collaborative Decoding
Paper • 2601.05167 • Published • 29 -
AT^2PO: Agentic Turn-based Policy Optimization via Tree Search
Paper • 2601.04767 • Published • 28 -
Scaling Behavior Cloning Improves Causal Reasoning: An Open Model for Real-Time Video Game Playing
Paper • 2601.04575 • Published • 8 -
Agent-as-a-Judge
Paper • 2601.05111 • Published • 19 -
The Illusion of Specialization: Unveiling the Domain-Invariant "Standing Committee" in Mixture-of-Experts Models
Paper • 2601.03425 • Published • 16 -
DocDancer: Towards Agentic Document-Grounded Information Seeking
Paper • 2601.05163 • Published • 5 -
One Sample to Rule Them All: Extreme Data Efficiency in RL Scaling
Paper • 2601.03111 • Published • 9 -
AgentDevel: Reframing Self-Evolving LLM Agents as Release Engineering
Paper • 2601.04620 • Published • 3 -
Learning User Preferences Through Interaction for Long-Term Collaboration
Paper • 2601.02702 • Published • 2 -
Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization
Paper • 2601.05432 • Published • 163 -
The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning
Paper • 2601.06002 • Published • 50 -
Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
Paper • 2601.06021 • Published • 43 -
EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
Paper • 2601.05808 • Published • 36 -
AgentOCR: Reimagining Agent History via Optical Self-Compression
Paper • 2601.04786 • Published • 28 -
Can We Predict Before Executing Machine Learning Agents?
Paper • 2601.05930 • Published • 26 -
An Empirical Study on Preference Tuning Generalization and Diversity Under Domain Shift
Paper • 2601.05882 • Published • 20 -
Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency
Paper • 2601.05905 • Published • 18 -
SmartSearch: Process Reward-Guided Query Refinement for Search Agents
Paper • 2601.04888 • Published • 9 -
Over-Searching in Search-Augmented Large Language Models
Paper • 2601.05503 • Published • 6 -
DR-LoRA: Dynamic Rank LoRA for Mixture-of-Experts Adaptation
Paper • 2601.04823 • Published • 6 -
Memory Matters More: Event-Centric Memory as a Logic Map for Agent Searching and Reasoning
Paper • 2601.04726 • Published • 6 -
TCAndon-Router: Adaptive Reasoning Router for Multi-Agent Collaboration
Paper • 2601.04544 • Published • 6 -
IIB-LPO: Latent Policy Optimization via Iterative Information Bottleneck
Paper • 2601.05870 • Published • 3 -
Distilling Feedback into Memory-as-a-Tool
Paper • 2601.05960 • Published • 2 -
BabyVision: Visual Reasoning Beyond Language
Paper • 2601.06521 • Published • 190 -
PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
Paper • 2601.05593 • Published • 79 -
Lost in the Noise: How Reasoning Models Fail with Contextual Distractors
Paper • 2601.07226 • Published • 32 -
Dr. Zero: Self-Evolving Search Agents without Training Data
Paper • 2601.07055 • Published • 20 -
OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agent
Paper • 2601.07779 • Published • 27 -
Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction
Paper • 2601.05107 • Published • 23 -
ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration
Paper • 2601.06860 • Published • 16 -
MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era
Paper • 2601.07526 • Published • 23 -
Forest Before Trees: Latent Superposition for Efficient Visual Reasoning
Paper • 2601.06803 • Published • 10 -
TourPlanner: A Competitive Consensus Framework with Constraint-Gated Reinforcement Learning for Travel Planning
Paper • 2601.04698 • Published • 10 -
How Do Large Language Models Learn Concepts During Continual Pre-Training?
Paper • 2601.03570 • Published • 4 -
OpenTinker: Separating Concerns in Agentic Reinforcement Learning
Paper • 2601.07376 • Published • 6 -
ShowUI-Aloha: Human-Taught GUI Agent
Paper • 2601.07181 • Published • 3 -
Are LLM Decisions Faithful to Verbal Confidence?
Paper • 2601.07767 • Published • 4 -
Structured Episodic Event Memory
Paper • 2601.06411 • Published • 4 -
Artificial Entanglement in the Fine-Tuning of Large Language Models
Paper • 2601.06788 • Published • 3 -
User-Oriented Multi-Turn Dialogue Generation with Tool Use at scale
Paper • 2601.08225 • Published • 50 -
ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
Paper • 2601.06487 • Published • 51 -
On the Non-decoupling of Supervised Fine-tuning and Reinforcement Learning in Post-training
Paper • 2601.07389 • Published • 2 -
MemoBrain: Executive Memory as an Agentic Brain for Reasoning
Paper • 2601.08079 • Published • 37 -
MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences
Paper • 2601.06789 • Published • 77 -
The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents
Paper • 2601.07264 • Published • 24 -
Parallel Context-of-Experts Decoding for Retrieval Augmented Generation
Paper • 2601.08670 • Published • 19 -
Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization
Paper • 2601.04582 • Published • 10 -
JudgeRLVR: Judge First, Generate Second for Efficient Reasoning
Paper • 2601.08468 • Published • 6 -
EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs
Paper • 2601.06786 • Published • 6 -
Controlled Self-Evolution for Algorithmic Code Optimization
Paper • 2601.07348 • Published • 112 -
MAXS: Meta-Adaptive Exploration with LLM Agents
Paper • 2601.09259 • Published • 94 -
EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines
Paper • 2601.09465 • Published • 40 -
OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG
Paper • 2601.09028 • Published • 33 -
ExpSeek: Self-Triggered Experience Seeking for Web Agents
Paper • 2601.08605 • Published • 16 -
Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models
Paper • 2601.08955 • Published • 13 -
No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning
Paper • 2601.06794 • Published • 4 -
The AI Hippocampus: How Far are We From Human Memory?
Paper • 2601.09113 • Published • 5 -
DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing
Paper • 2601.09609 • Published • 3 -
Omni-R1: Towards the Unified Generative Paradigm for Multimodal Reasoning
Paper • 2601.09536 • Published • 5 -
SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning
Paper • 2601.04809 • Published • 3 -
Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
Paper • 2601.08763 • Published • 141 -
Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning
Paper • 2601.09667 • Published • 82 -
Beyond Static Tools: Test-Time Tool Evolution for Scientific Reasoning
Paper • 2601.07641 • Published • 45 -
Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering
Paper • 2601.10402 • Published • 36 -
MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching
Paper • 2601.10712 • Published • 24 -
LaViT: Aligning Latent Visual Thoughts for Multi-modal Reasoning
Paper • 2601.10129 • Published • 11 -
PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution
Paper • 2601.10657 • Published • 20 -
LSRIF: Logic-Structured Reinforcement Learning for Instruction Following
Paper • 2601.06431 • Published • 12 -
PRL: Process Reward Learning Improves LLMs' Reasoning Ability and Broadens the Reasoning Boundary
Paper • 2601.10201 • Published • 8 -
Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale
Paper • 2601.10338 • Published • 5 -
Memory Bank Compression for Continual Adaptation of Large Language Models
Paper • 2601.00756 • Published • 2 -
Distribution-Aligned Sequence Distillation for Superior Long-CoT Reasoning
Paper • 2601.09088 • Published • 59 -
Your Group-Relative Advantage Is Biased
Paper • 2601.08521 • Published • 145 -
The Poisoned Apple Effect: Strategic Manipulation of Mediated Markets via Technology Expansion of AI Agents
Paper • 2601.11496 • Published • 46 -
Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text
Paper • 2601.10355 • Published • 38 -
BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search
Paper • 2601.11037 • Published • 17 -
ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection
Paper • 2601.09195 • Published • 15 -
Reasoning Models Generate Societies of Thought
Paper • 2601.10825 • Published • 12 -
PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric Records
Paper • 2601.09636 • Published • 8 -
Language of Thought Shapes Output Diversity in Large Language Models
Paper • 2601.11227 • Published • 9 -
Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
Paper • 2601.08808 • Published • 38 -
NAACL: Noise-AwAre Verbal Confidence Calibration for LLMs in RAG Systems
Paper • 2601.11004 • Published • 29 -
Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
Paper • 2601.11061 • Published • 7 -
YaPO: Learnable Sparse Activation Steering Vectors for Domain Adaptation
Paper • 2601.08441 • Published • 7 -
CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion
Paper • 2601.09512 • Published • 4 -
Think3D: Thinking with Space for Spatial Reasoning
Paper • 2601.13029 • Published • 45 -
Toward Efficient Agents: Memory, Tool learning, and Planning
Paper • 2601.14192 • Published • 49 -
FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
Paper • 2601.13836 • Published • 34 -
DARC: Decoupled Asymmetric Reasoning Curriculum for LLM Evolution
Paper • 2601.13761 • Published • 15 -
ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents
Paper • 2601.12294 • Published • 17 -
Aligning Agentic World Models via Knowledgeable Experience Learning
Paper • 2601.13247 • Published • 15 -
Agentic-R: Learning to Retrieve for Agentic Search
Paper • 2601.11888 • Published • 19 -
Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment
Paper • 2601.14249 • Published • 8 -
InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning
Paper • 2601.14209 • Published • 5 -
Uncertainty-Aware Gradient Signal-to-Noise Data Selection for Instruction Tuning
Paper • 2601.13697 • Published • 3 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 180 -
Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance
Paper • 2601.14171 • Published • 47 -
Behavior Knowledge Merge in Reinforced Agentic Models
Paper • 2601.13572 • Published • 23 -
Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning
Paper • 2601.14750 • Published • 16 -
Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics
Paper • 2601.14027 • Published • 12 -
Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models
Paper • 2601.14152 • Published • 4 -
The Responsibility Vacuum: Organizational Failure in Scaled Agent Systems
Paper • 2601.15059 • Published • 3 -
Facilitating Proactive and Reactive Guidance for Decision Making on the Web: A Design Probe with WebSeek
Paper • 2601.15100 • Published • 3 -
EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience
Paper • 2601.15876 • Published • 88 -
LLM-in-Sandbox Elicits General Agentic Intelligence
Paper • 2601.16206 • Published • 75 -
PROGRESSLM: Towards Progress Reasoning in Vision-Language Models
Paper • 2601.15224 • Published • 12 -
Agentic Uncertainty Quantification
Paper • 2601.15703 • Published • 8 -
Agentic Confidence Calibration
Paper • 2601.15778 • Published • 5 -
From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models
Paper • 2601.15690 • Published • 4