Changes
Every new paper, count, summary and review, kept as history.
Language Models are Few-Shot LearnersInfluential citations rose from 5,611 to 5,637, and citations rose from 65,934 to 66,355.NVIDIA 39Alibaba (Qwen) 32Microsoft 18Meta 15Google 15Scale AI 13ServiceNow 11Salesforce 9UC Berkeley 8OpenAI 7Google DeepMind 5DeepSeek 5+19 labs
And 218 more papers with new countsHide
- LoRA: Low-Rank Adaptation of Large Language Models (Microsoft). Influential citations rose from 3,500 to 3,547, and citations rose from 25,222 to 25,555.
- The Llama 3 Herd of Models (Meta). Influential citations rose from 3,731 to 3,790, and citations rose from 20,541 to 20,834.
- Efficient Memory Management for Large Language Model Serving with PagedAttention (UC Berkeley). Influential citations rose from 1,331 to 1,375, and citations rose from 9,683 to 9,965.
- Qwen3 Technical Report (Alibaba (Qwen)). Influential citations rose from 1,433 to 1,469, and citations rose from 9,838 to 10,089.
- Training language models to follow instructions with human feedback (OpenAI). Influential citations rose from 2,541 to 2,553, and citations rose from 25,614 to 25,810.
- GPT-4 Technical Report (OpenAI). Influential citations rose from 3,383 to 3,397, and citations rose from 28,214 to 28,363.
- Direct Preference Optimization: Your Language Model is Secretly a Reward Model (Stanford University). Hugging Face upvotes rose from 71 to 73, and influential citations rose from 2,369 to 2,389, and citations rose from 11,437 to 11,573.
- Segment Anything (Meta). Influential citations rose from 2,186 to 2,203, and citations rose from 16,655 to 16,793.
- Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Carnegie Mellon University). Influential citations rose from 1,397 to 1,413, and citations rose from 10,017 to 10,151.
- Qwen3-VL Technical Report (Alibaba (Qwen)). Influential citations rose from 632 to 659, and citations rose from 3,066 to 3,178.
- LLaMA: Open and Efficient Foundation Language Models (Meta). Influential citations rose from 2,297 to 2,311, and citations rose from 22,457 to 22,575.
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (Google). Influential citations rose from 1,165 to 1,191, and citations rose from 4,523 to 4,594.
- SAM 3: Segment Anything with Concepts (Meta). Influential citations rose from 223 to 237, and citations rose from 1,386 to 1,466.
- FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (Stanford University). Influential citations rose from 482 to 492, and citations rose from 5,749 to 5,830.
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization (Microsoft). Influential citations rose from 346 to 351, and citations rose from 2,488 to 2,561.
- GPT-4o System Card (OpenAI). Influential citations rose from 1,042 to 1,051, and citations rose from 5,328 to 5,388.
- DINOv3 (Meta). Hugging Face upvotes rose from 311 to 320, and influential citations rose from 336 to 344, and citations rose from 1,883 to 1,932.
- Scaling Laws for Neural Language Models (OpenAI). Influential citations fell from 652 to 649, and citations rose from 9,533 to 9,592.
- Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism (NVIDIA). Influential citations rose from 411 to 417, and citations rose from 3,352 to 3,387.
- Gemma 4 Technical Report (Google DeepMind). Influential citations rose from 43 to 48, and citations rose from 321 to 356.
- Agent World Model in the Wild: Computer-Use Agent Environment Synthesis (Microsoft). Hugging Face upvotes fell from 100 to 69.
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (Google DeepMind). Influential citations rose from 887 to 888, and citations rose from 4,162 to 4,190.
- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (Microsoft). Influential citations rose from 375 to 379, and citations rose from 2,628 to 2,649.
- The Impact of AI on Developer Productivity: Evidence from GitHub Copilot (GitHub). Influential citations fell from 123 to 121, and citations rose from 885 to 906.
- Nemotron-Labs-Diffusion-Uni: Elastic Self-Refining Unified Diffusion LLM with Cross-Paradigm On-Policy Distillation (NVIDIA). Hugging Face upvotes fell from 31 to 12.
- ASPIRE: Agentic /Skills Discovery for Robotics (NVIDIA). Influential citations rose from 16 to 18, and citations rose from 97 to 114.
- DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation (DeepSeek). Influential citations rose from 32 to 38, and citations rose from 64 to 77.
- Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models (Cohere). Citations rose from 399 to 418.
- dLLM: Simple Diffusion Language Modeling (UC Berkeley). Hugging Face upvotes fell from 153 to 136, and citations rose from 17 to 18.
- SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks? (Scale AI). Influential citations rose from 70 to 73, and citations rose from 352 to 367.
- On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models (Google). Hugging Face upvotes fell from 48 to 31.
- StreamVibe: Proactive Video Agents for Evolving User Intent (Google). Hugging Face upvotes fell from 95 to 78.
- Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking (Alibaba (Qwen)). Citations rose from 299 to 315.
- Retrieval Augmented Generation Compositionality (IBM). Hugging Face upvotes fell from 49 to 34.
- SAM 3D: 3Dfy Anything in Images (Meta). Influential citations rose from 77 to 81, and citations rose from 332 to 343.
- Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains (Scale AI). Influential citations rose from 68 to 70, and citations rose from 418 to 431.
- Group Sequence Policy Optimization (Alibaba (Qwen)). Influential citations rose from 78 to 80, and citations rose from 802 to 814.
- MolmoAct2: Action Reasoning Models for Real-world Deployment (Ai2). Influential citations rose from 11 to 12, and citations rose from 87 to 100.
- CommerceGen-Studio: An End-to-End Framework for Commercial-Grade Main-Image Generation (Alibaba (Qwen)). Hugging Face upvotes fell from 38 to 25.
- Eat Your Precision: Precision Objective Mitigates Reward Hacking in Rubric-based RL (Carnegie Mellon University). Hugging Face upvotes fell from 47 to 34.
- On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability (Alibaba (Qwen)). Influential citations rose from 11 to 13, and citations rose from 65 to 76.
- DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos (NVIDIA). Influential citations rose from 25 to 26, and citations rose from 168 to 179.
- BlenderWorld: Benchmarking Visual Agents for 3D Creation from Real-World References (Alibaba (Qwen)). Hugging Face upvotes fell from 34 to 23.
- OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory (Apple). Hugging Face upvotes fell from 112 to 101.
- World-in-Context: Interactive Video World Modeling with In-Context Conditioning (Alibaba (Qwen)). Hugging Face upvotes fell from 33 to 22.
- Qwen-Image-PE: Learning Visual Design for Text-to-Image Prompt Enhancement (Alibaba (Qwen)). Hugging Face upvotes fell from 33 to 23.
- InteractiveWorld: A Verifiable Human-Centric Environment for Building Better Interactive MLLM Assistants (Meta). Hugging Face upvotes fell from 56 to 46.
- Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training (Anthropic). Citations rose from 647 to 657.
- Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild? (Anthropic). Hugging Face upvotes fell from 27 to 18.
- UserArena: Benchmarking Interactive User Simulation for Long-Horizon Shopping Agents (Alibaba (Qwen)). Hugging Face upvotes fell from 64 to 55.
- ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning (NVIDIA). Hugging Face upvotes fell from 66 to 57.
- Qwen3-ASR Technical Report (Alibaba (Qwen)). Influential citations rose from 14 to 17, and citations rose from 194 to 200.
- GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization (NVIDIA). Influential citations rose from 47 to 49, and citations rose from 227 to 234.
- Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention (NVIDIA). Influential citations rose from 7 to 9, and citations rose from 42 to 48.
- Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning (NVIDIA). Influential citations rose from 7 to 9, and citations rose from 48 to 54.
- WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? (ServiceNow). Citations rose from 435 to 443.
- The BrowserGym Ecosystem for Web Agent Research (ServiceNow). Influential citations fell from 18 to 17, and citations rose from 193 to 200.
- Productivity Assessment of Neural Code Completion (GitHub). Influential citations fell from 36 to 35, and citations rose from 342 to 349.
- Beyond Watching and Searching: Benchmarking Agents for Video-centered Deep Research Reports (Alibaba (Qwen)). Hugging Face upvotes fell from 26 to 19.
- Playful Agentic Robot Learning (UC Berkeley). Influential citations rose from 3 to 5, and citations rose from 32 to 37.
- LoRA Learns Less and Forgets Less (Databricks). Citations rose from 479 to 486.
- Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation (Cohere). Influential citations rose from 31 to 33, and citations rose from 231 to 236.
- Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models (Alibaba (Qwen)). Citations rose from 66 to 72.
- WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces (Microsoft). Influential citations rose from 5 to 8, and citations rose from 12 to 15.
- SkillOpt: Executive Strategy for Self-Evolving Agent Skills (Microsoft). Citations rose from 167 to 173.
- mHC: Manifold-Constrained Hyper-Connections (DeepSeek). Influential citations rose from 22 to 23, and citations rose from 103 to 108.
- Agents' Last Exam (UC Berkeley). Influential citations rose from 3 to 4, and citations rose from 37 to 42.
- Correction Training for Diffusion Models (UC Berkeley). Hugging Face upvotes fell from 47 to 42.
- Self-Evolving Coding Agents via Harness-Policy Optimization (Microsoft). Hugging Face upvotes fell from 53 to 48.
- SWIFT: Self-guided Weak-to-strong dIFfusion models via Target extrapolation (Alibaba (Qwen)). Hugging Face upvotes fell from 35 to 30.
- AgentFold: Long-Horizon Web Agents with Proactive Context Management (Alibaba (Qwen)). Influential citations rose from 7 to 8, and citations rose from 103 to 107.
- V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning (Meta). Influential citations rose from 52 to 53, and citations rose from 157 to 161.
- Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization (UC Berkeley). Influential citations rose from 2 to 3, and citations rose from 25 to 29.
- Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation (DeepSeek). Citations rose from 520 to 525.
- Pixtral 12B (Mistral AI). Citations rose from 185 to 190.
- Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation (NVIDIA). Citations rose from 58 to 63.
- LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory (Google DeepMind). Influential citations rose from 4 to 5, and citations rose from 42 to 46.
- SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer (NVIDIA). Citations rose from 65 to 70.
- Qwen3-TTS Technical Report (Alibaba (Qwen)). Citations rose from 189 to 194.
- Why Language Models Hallucinate (OpenAI). Citations rose from 386 to 391.
- Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model (Microsoft). Citations rose from 13 to 17.
- MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction (Ai2). Influential citations rose from 5 to 7, and citations rose from 14 to 16.
- PaperBanana: Automating Academic Illustration for AI Scientists (Google). Influential citations rose from 8 to 9, and citations rose from 33 to 36.
- WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks (ServiceNow). Influential citations rose from 6 to 7, and citations rose from 111 to 114.
- StateAct: Program State, before Pixels, for Long-Horizon Computer-Use Agents (Salesforce). Influential citations rose from 0 to 2, and citations rose from 4 to 6.
- RDMA Point-to-Point Communication for LLM Systems (Perplexity). Influential citations rose from 3 to 4, and citations rose from 13 to 16.
- Privileged Information Distillation for Language Models (ServiceNow). Citations rose from 101 to 105.
- MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs (Scale AI). Influential citations rose from 21 to 22, and citations rose from 204 to 207.
- MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers (Salesforce). Influential citations rose from 23 to 24, and citations rose from 125 to 128.
- EmbeddingGemma 2: Unified and Efficient Multimodal Representations (Google). Hugging Face upvotes rose from 31 to 34.
- SAM Audio: Segment Anything in Audio (Meta). Influential citations rose from 11 to 12, and citations rose from 55 to 57.
- Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures (DeepSeek). Citations rose from 113 to 116.
- Fast-dLLM v2: Efficient Block-Diffusion LLM (NVIDIA). Citations rose from 155 to 158.
- Efficiently Reconstructing Dynamic Scenes One D4RT at a Time (Google). Influential citations rose from 7 to 8, and citations rose from 72 to 74.
- Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories (Google). Citations rose from 6 to 9.
- MAI-UI Technical Report: Real-World Centric Foundation GUI Agents (Alibaba (Qwen)). Citations rose from 106 to 109.
- Retrospective Harness Optimization: Improving LLM Agents via Self-Preference over Trajectory Rollouts (Microsoft). Citations rose from 26 to 29.
- Proact-VL: A Proactive VideoLLM for Real-Time AI Companions (Microsoft). Influential citations rose from 2 to 3, and citations rose from 17 to 19.
- Reasoning Models Struggle to Control their Chains of Thought (OpenAI). Citations rose from 34 to 37.
- Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs? (Microsoft). Influential citations rose from 16 to 17, and citations rose from 108 to 110.
- NitroGen: An Open Foundation Model for Generalist Gaming Agents (NVIDIA). Citations rose from 26 to 29.
- Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning (NVIDIA). Influential citations rose from 11 to 12, and citations rose from 110 to 112.
- Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge (Microsoft). Influential citations rose from 2 to 3, and citations rose from 17 to 19.
- Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents (Alibaba (Qwen)). Citations rose from 88 to 91.
- Qwen3-Coder-Next Technical Report (Alibaba (Qwen)). Citations rose from 92 to 95.
- Flash-KMeans: Fast and Memory-Efficient Exact K-Means (UC Berkeley). Citations rose from 13 to 16.
- TriAttention: Efficient Long Reasoning with Trigonometric KV Compression (NVIDIA). Influential citations rose from 6 to 7, and citations rose from 23 to 25.
- Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance (Alibaba (Qwen)). Influential citations rose from 17 to 18, and citations rose from 56 to 58.
- AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces (Microsoft). Citations rose from 19 to 22.
- Qwen-AgentWorld: Language World Models for General Agents (Alibaba (Qwen)). Citations rose from 25 to 28.
- Qianfan-OCR: A Unified End-to-End Model for Document Intelligence (Baidu). Influential citations rose from 2 to 3, and citations rose from 23 to 25.
- LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding (NVIDIA). Influential citations rose from 8 to 9, and citations rose from 36 to 38.
- Sea Change in Software Development: Economic and Productivity Analysis of the AI-Powered Developer Lifecycle (GitHub). Influential citations rose from 7 to 8, and citations rose from 50 to 52.
- Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning (Salesforce). Influential citations rose from 1 to 2, and citations rose from 3 to 5.
- Do generative video models learn physical principles from watching videos? (Google DeepMind). Hugging Face upvotes fell from 33 to 31.
- Co-Design Bench: Multimodal Collaborative Coding Evaluation for Agentic Models (Alibaba (Qwen)). Hugging Face upvotes fell from 25 to 23.
- Sharp Monocular View Synthesis in Less Than a Second (Apple). Citations rose from 30 to 32.
- Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow (NVIDIA). Citations rose from 16 to 18.
- Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models (NVIDIA). Citations rose from 35 to 37.
- Towards Autonomous Mathematics Research (Google). Citations rose from 37 to 39.
- SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation (NVIDIA). Influential citations rose from 4 to 5, and citations rose from 5 to 6.
- Qwen-Music Technical Report (Alibaba (Qwen)). Influential citations rose from 0 to 1, and citations rose from 3 to 4.
- jina-embeddings-v3: Multilingual Embeddings With Task LoRA (Jina AI). Citations rose from 219 to 221.
- SANA-Streaming: Real-time Streaming Video Editing with Hybrid Diffusion Transformer (NVIDIA). Citations rose from 13 to 15.
- Soft Adaptive Policy Optimization (Alibaba (Qwen)). Influential citations fell from 28 to 27, and citations rose from 93 to 94.
- PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion (NVIDIA). Influential citations rose from 2 to 3, and citations rose from 9 to 10.
- PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation (NVIDIA). Influential citations rose from 2 to 3, and citations rose from 8 to 9.
- Lyra 2.0: Explorable Generative 3D Worlds (NVIDIA). Influential citations rose from 19 to 20, and citations rose from 49 to 50.
- Learning to Discover at Test Time (Stanford University). Citations rose from 116 to 118.
- MARS: Modular Agent with Reflective Search for Automated AI Research (Google). Citations rose from 29 to 31.
- From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents (IBM). Citations rose from 32 to 34.
- Unlimited OCR Works (Baidu). Influential citations rose from 2 to 3, and citations rose from 8 to 9.
- ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration (NVIDIA). Citations rose from 50 to 52.
- TiDAR: Think in Diffusion, Talk in Autoregression (NVIDIA). Citations rose from 41 to 43.
- On Data Engineering for Scaling LLM Terminal Capabilities (NVIDIA). Citations rose from 42 to 44.
- Latent Spatial Memory for Video World Models (Microsoft). Citations rose from 22 to 24.
- FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution (UC Berkeley). Influential citations rose from 2 to 3, and citations rose from 7 to 8.
- Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes (Meta). Citations rose from 5 to 7.
- Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections (Snowflake). Influential citations rose from 1 to 2, and citations rose from 2 to 3.
- LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation (NVIDIA). Citations rose from 35 to 37.
- SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation (Snowflake). Citations rose from 19 to 21.
- xLAM: A Family of Large Action Models to Empower AI Agent Systems (Salesforce). Citations rose from 129 to 131.
- SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions (Scale AI). Citations rose from 21 to 23.
- Reward Hacking in Rubric-Based Reinforcement Learning (Scale AI). Citations rose from 31 to 33.
- Making, not Taking, the Best of N (Cohere). Influential citations rose from 1 to 2, and citations rose from 6 to 7.
- LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet (Scale AI). Citations rose from 184 to 186.
- GTA1: GUI Test-time Scaling Agent (Salesforce). Citations rose from 118 to 120.
- Future Optical Flow Prediction Improves Robot Control & Video Generation (Salesforce). Influential citations rose from 0 to 1, and citations rose from 9 to 10.
- EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings (ServiceNow). Citations rose from 16 to 18.
- DeLoop: Repeated Actions as Self-Supervision for Long-Horizon Agents (Google). Hugging Face upvotes fell from 22 to 21.
- Joints, Camera, Action! Co-Generating 3D Motion and Video for Arbitrary Rigs (NVIDIA). Hugging Face upvotes fell from 27 to 26.
- Apriel Voice 27B Preview: An Open Model for Speech, Reasoning, and Tool Use (ServiceNow). Hugging Face upvotes rose from 36 to 37.
- ShapeR: Robust Conditional 3D Shape Generation from Casual Captures (Meta). Influential citations rose from 3 to 4.
- FineVision: Open Data Is All You Need (Hugging Face). Citations rose from 52 to 53.
- WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution (Google). Citations rose from 22 to 23.
- Voxtral Realtime (Mistral AI). Citations rose from 9 to 10.
- V-RGBX: Video Editing with Accurate Controls over Intrinsic Properties (Adobe). Citations rose from 6 to 7.
- One Layer Is Enough: Adapting Pretrained Visual Encoders for Image Generation (Apple). Citations rose from 31 to 32.
- Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning (Snowflake). Citations rose from 80 to 81.
- Agent Learning via Early Experience (Meta). Citations rose from 78 to 79.
- Reinforcement World Model Learning for LLM-based Agents (Microsoft). Citations rose from 23 to 24.
- Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System (Alibaba (Qwen)). Citations rose from 22 to 23.
- Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers (Meta). Citations rose from 47 to 48.
- Memory-V2V: Augmenting Video-to-Video Diffusion Models with Memory (Adobe). Citations rose from 2 to 3.
- Transition Matching Distillation for Fast Video Generation (NVIDIA). Citations rose from 29 to 30.
- Test-Time Training with KV Binding Is Secretly Linear Attention (NVIDIA). Citations rose from 15 to 16.
- Robot Learning from a Physical World Model (Google DeepMind). Citations rose from 22 to 23.
- Reinforced Attention Learning (Google). Citations rose from 7 to 8.
- DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems (Microsoft). Citations rose from 36 to 37.
- TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking (Google). Citations rose from 7 to 8.
- Toto 2.0: Time Series Forecasting Enters the Scaling Era (Datadog). Citations rose from 38 to 39.
- Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification (NVIDIA). Citations rose from 10 to 11.
- SAMA: Factorized Semantic Anchoring and Motion Alignment for Instruction-Guided Video Editing (Baidu). Citations rose from 8 to 9.
- PixelDiT: Pixel Diffusion Transformers for Image Generation (NVIDIA). Citations rose from 102 to 103.
- NVIDIA-labs OO Agents: Native Python Object-Oriented Agents (NVIDIA). Citations rose from 4 to 5.
- Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models (NVIDIA). Citations rose from 52 to 53.
- The Verification Horizon: No Silver Bullet for Coding Agent Rewards (Alibaba (Qwen)). Citations rose from 10 to 11.
- Agent Lightning v1.0: Towards Harnessed Agentic RL (Microsoft). Citations rose from 10 to 11.
- OneStory: Coherent Multi-Shot Video Generation with Adaptive Memory (Meta). Influential citations fell from 3 to 2.
- NVIDIA Nemotron 3: Efficient and Open Intelligence (NVIDIA). Citations rose from 59 to 60.
- Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation (Alibaba (Qwen)). Citations fell from 19 to 18.
- Qwen-Image-2.0-RL Technical Report (Alibaba (Qwen)). Citations rose from 9 to 10.
- PhyCritic: Multimodal Critic Models for Physical AI (NVIDIA). Citations rose from 16 to 17.
- Mode Seeking meets Mean Seeking for Fast Long Video Generation (NVIDIA). Citations rose from 13 to 14.
- Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models (DeepSeek). Citations rose from 25 to 26.
- From AGI to ASI (Google). Citations rose from 8 to 9.
- Fish Audio S2 Technical Report (Fish Audio). Citations rose from 23 to 24.
- Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients (NVIDIA). Citations rose from 3 to 4.
- Unified Latents (UL): How to train your latents (Google). Influential citations fell from 3 to 2.
- TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models (Meta). Citations rose from 37 to 38.
- Embarrassingly Simple Self-Distillation Improves Code Generation (Apple). Citations rose from 39 to 40.
- Recurrent-Depth VLA: Implicit Test-Time Compute Scaling of Vision-Language-Action Models via Latent Iterative Reasoning (Ai2). Citations rose from 20 to 21.
- HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning (Alibaba (Qwen)). Citations rose from 6 to 7.
- Stabilizing Reinforcement Learning with LLMs: Formulation and Practices (Alibaba (Qwen)). Citations rose from 48 to 49.
- SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning (NVIDIA). Citations rose from 22 to 23.
- Recursive Multi-Agent Systems (Stanford University). Citations rose from 11 to 12.
- FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization (Alibaba (Qwen)). Citations rose from 30 to 31.
- Experiential Reinforcement Learning (Microsoft). Citations fell from 19 to 18.
- Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents (Alibaba (Qwen)). Citations rose from 17 to 18.
- Nemotron-4 340B Technical Report (NVIDIA). Citations rose from 141 to 142.
- Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels (Salesforce). Influential citations rose from 4 to 5.
- To Code, or Not To Code? Exploring Impact of Code in Pre-training (Cohere). Citations rose from 60 to 61.
- The IOL-AI Challenge: An Open Challenge towards Advancing Linguistic Reasoning (Cohere). Citations rose from 0 to 1.
- Terminal Agents Suffice for Enterprise Automation (ServiceNow). Citations fell from 7 to 6.
- StarHarness: Evolving Harnesses with Stratified Search for Enterprise Environments (ServiceNow). Citations rose from 2 to 3.
- SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? (Scale AI). Citations rose from 3 to 4.
- ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents (Scale AI). Citations rose from 95 to 96.
- Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents (Scale AI). Citations rose from 81 to 82.
- Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR (Scale AI). Citations rose from 12 to 13.
- Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent Failures (Scale AI). Citations rose from 10 to 11.
- Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory (Accenture). Citations rose from 16 to 17.
- MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers (Scale AI). Citations rose from 64 to 65.
- Least-Loaded Expert Parallelism: Load Balancing An Imbalanced Mixture-of-Experts (Salesforce). Citations rose from 10 to 11.
- How to Train Your LLM Web Agent: A Statistical Diagnosis (ServiceNow). Citations rose from 22 to 23.
- HarnessOpt-Bench: Evaluating LLMs at Harness Optimization (Scale AI). Influential citations fell from 2 to 1.
- Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math (Salesforce). Citations rose from 22 to 23.
- Grounding Computer Use Agents on Human Demonstrations (ServiceNow). Citations rose from 22 to 23.
- EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents (ServiceNow). Citations rose from 19 to 20.
As JSON: /api/changes?since=