Papers
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AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World ContextsShanghai Jiao Tong University, The Hong Kong Polytechnic University
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Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering
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The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models
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Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning
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Reasoning Models Generate Societies of Thought
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Hardware Acceleration for Neural Networks: A Comprehensive SurveyArizona State University
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RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension
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Motion Attribution for Video Generation
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The Hierarchy of Agentic Capabilities: Evaluating Frontier Models on Realistic RL Environments
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Silence the Judge: Reinforcement Learning with Self-Verifier via Latent Geometric Clustering
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TerraFormer: Automated Infrastructure-as-Code with LLMs Fine-Tuned via Policy-Guided Verifier Feedback
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Apollo: Unified Audio-Video Joint Generation
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Controlled LLM Training on Spectral Sphere
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The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning
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Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World ModelsThe Hong Kong Polytechnic University
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AgriAgent: Contract-Driven Planning and Capability-Aware Tool Orchestration in Real-World AgricultureZhejiang University College of Computer Science and Technology
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Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
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Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQL
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Thinking—Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive SurrenderUniversity of Pennsylvania
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BabyVision: Visual Reasoning Beyond Language
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RigMo: Unifying Rig and Motion Learning for Generative Animation
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AIE4ML: An End-to-End Framework for Compiling Neural Networks for the Next Generation of AMD AI Engines
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FinVault: Benchmarking Financial Agent Safety in Execution-Grounded Environments
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UniFinEval: Towards Unified Evaluation of Financial Multimodal Models across Text, Images and Videos
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Rotate Your Character: Revisiting Video Diffusion Models for High-Quality 3D Character Generation
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One Language-Free Foundation Model Is Enough for Universal Vision Anomaly Detection
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GenCtrl -- A Formal Controllability Toolkit for Generative Models
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Sprint: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers
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Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
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GR-Dexter Technical Report
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Challenges and Research Directions for Large Language Model Inference Hardware
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Pixel-Perfect Visual Geometry Estimation
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DocDancer: Towards Agentic Document-Grounded Information Seeking
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Re-Align: Structured Reasoning-guided Alignment for In-Context Image Generation and Editing
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InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training
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Internal Representations as Indicators of Hallucinations in Agent Tool Selection
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VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice
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FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning
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ResTok: Learning Hierarchical Residuals in 1D Visual Tokenizers for Autoregressive Image Generation
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Extracting books from production language models
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SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents
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A Versatile Multimodal Agent for Multimedia Content Generation
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Efficient Context Scaling with LongCat ZigZag Attention
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Pearmut: Human Evaluation of Translation Made Trivial
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Listen to Rhythm, Choose Movements: Autoregressive Multimodal Dance Generation via Diffusion and Mamba with Decoupled Dance Dataset
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Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model AgentsWuhan University
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CD4LM: Consistency Distillation and aDaptive Decoding for Diffusion Language Models
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Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models
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RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning
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VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
