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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
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Evaluating the Critical Risks of Amazon’s Nova Premier under the Frontier Model Safety Framework
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Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy
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`For Argument's Sake, Show Me How to Harm Myself!': Jailbreaking LLMs in Suicide and Self-Harm Contexts
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UMA: A Family of Universal Models for Atoms
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Hierarchical Reasoning Model
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Steering Your Diffusion Policy with Latent Space Reinforcement Learning
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Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs
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KIMI-VL TECHNICAL REPORT
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TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation
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Next-User Retrieval: Enhancing Cold-Start Recommendations via Generative Next-User Modeling
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Agent Laboratory: Using LLM Agents as Research Assistants
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CSVQA: A Chinese Multimodal Benchmark for Evaluating STEM Reasoning Capabilities of VLMs
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AlphaEvolve: A coding agent for scientific and algorithmic discovery
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Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences
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Transformers without Normalization
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T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scalin
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Ministral 3
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The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs
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A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
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Magistral
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Adobe Researchers present a powerful, unified approach to generative video editing at CVPR 2025
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Multi-Token Attention
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Transaction Categorization with Relational Deep Learning in QuickBooks
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Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought
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Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning
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Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation
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Modality-Specialized Synergizers for Interleaved Vision-Language Generalists
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Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
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Splat and Replace: 3D Reconstruction with Repetitive Elements
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FlexTok: Resampling Images into 1D Token Sequences of Flexible Length
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HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
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SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation
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Scaling Diffusion Language Models via Adaptation from Autoregressive Models
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M+: Extending MemoryLLM with Scalable Long-Term Memory
