Papers
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WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
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Inference-Time Scaling for Generalist Reward Modeling
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MechStyle: Augmenting Generative AI with Mechanical Simulation to Create Stylized and Structurally Viable 3D ModelsGoogle Research, Stability AI / Center for Bits and Atoms, MIT, Khoury College of Computer Sciences, Northeastern University, University of Washington
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FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models
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Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in Conversation
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ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
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From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
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EpiCache: Episodic KV Cache Management for Long Conversational Question Answering
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"My Boyfriend is AI": A Computational Analysis of Human-AI Companionship in Reddit's AI CommunityMassachusetts Institute of Technology
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Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning
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Towards an AI-Augmented Textbook
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Steering MoE LLMs via Expert (De)Activation
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Robix: A Unified Model for Robot Interaction, Reasoning and Planning
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AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
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An AI System to Help Scientists Write Expert-Level Empirical Software
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Why Language Models Hallucinate
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Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving
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GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
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Measuring the environmental impact of delivering AI at Google Scale
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3D-GENERALIST: Vision-Language-Action Models for Crafting 3D Worlds
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X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms
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NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation
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Matrix-3D: Omnidirectional Explorable 3D World Generation
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Amazon Ads Multi-Touch Attribution
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Scaling Laws for Native Multimodal Models
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Devstral: Fine-tuning Language Models for Coding Agent Applications
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Establishing Best Practices for Building Rigorous Agentic Benchmarks
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No LLM Solved Yu Tsumura's 554th ProblemUniversity of Cambridge, University of Oxford
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Why do LLMs attend to the first token
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Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction
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Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation
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Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
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Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
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Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks
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Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving
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Kimi K2: Open Agentic Intelligence
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Scaling Data-Constrained Language Models
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Seed LiveInterpret 2.0: End-to-end Simultaneous Speech-to-speech Translation with Your Voice
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Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them
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STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning
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DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
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Voxtral
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Apple Intelligence Foundation Language Models: Tech Report 2025
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Non-preemptive Throughput Maximizationunder Time-varying Capacity
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MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning
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A Survey of Automatic Prompt Optimization with Instruction-focused Heuristic-based Search Algorithm
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SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization
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Skywork-R1V3 Technical Report
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SHADE-Arena: Evaluating Sabotage and Monitoring in LLM Age
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Unconditional Diffusion for Generative Sequential Recommendation
