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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends

AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution Customization

SoCRATES: Towards Reliable Automated Evaluation of Proactive LLM Mediation across Domains and Socio-cognitive Variations































AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution Customization

SoCRATES: Towards Reliable Automated Evaluation of Proactive LLM Mediation across Domains and Socio-cognitive Variations






























MMAE: A Massive Multitask Audio Editing Benchmark
Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings
ChordEdit: One-Step Low-Energy Transport for Image Editing
NitroGen: An Open Foundation Model for Generalist Gaming Agents
Efficiently Reconstructing Dynamic Scenes One D4RT at a Time
Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments
MEMORY CACHING: RNNs with Growing Memory
RobotValues: Evaluating Household Robots When Human Values Conflict
VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding
AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints
TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration
ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time?
Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution
Self-Distilled Policy Gradient
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
Qwen-Image-Flash: Beyond Objective Design
OVO-S-Bench: A Hierarchical Benchmark for Streaming Spatial Intelligence in Multimodal LLMs
Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning
Where Do Deep-Research Agents Go Wrong? Span-Level Error Localization in Agent Trajectories
Audio Interaction Model
Cosmos 3: Omnimodal World Models for Physical AI
Learning, Fast and Slow: Towards LLMs That Adapt Continually
LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks
World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning
From Activation to Causality: Discovery of Causal Visual Representations in the Human Brain
A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RL
Humanoid-GPT: Scaling Data and Structure for Zero-Shot Motion Tracking
Trust Region On-Policy Distillation
MMAE: A Massive Multitask Audio Editing Benchmark
Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings
ChordEdit: One-Step Low-Energy Transport for Image Editing
NitroGen: An Open Foundation Model for Generalist Gaming Agents
Efficiently Reconstructing Dynamic Scenes One D4RT at a Time
Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments
MEMORY CACHING: RNNs with Growing Memory
RobotValues: Evaluating Household Robots When Human Values Conflict
VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding
AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints
TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration
ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time?
Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution
Self-Distilled Policy Gradient
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
Qwen-Image-Flash: Beyond Objective Design
OVO-S-Bench: A Hierarchical Benchmark for Streaming Spatial Intelligence in Multimodal LLMs
Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning
Where Do Deep-Research Agents Go Wrong? Span-Level Error Localization in Agent Trajectories
Audio Interaction Model
Cosmos 3: Omnimodal World Models for Physical AI
Learning, Fast and Slow: Towards LLMs That Adapt Continually
LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks
World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning
From Activation to Causality: Discovery of Causal Visual Representations in the Human Brain
A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RL
Humanoid-GPT: Scaling Data and Structure for Zero-Shot Motion Tracking
Trust Region On-Policy Distillation