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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 152 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2603.10160
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AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
Paper • 2602.17100 • Published • 3 -
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant
Paper • 2603.01059 • Published • 1 -
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models
Paper • 2603.00618 • Published -
Heterogeneous Agent Collaborative Reinforcement Learning
Paper • 2603.02604 • Published • 187
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The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models
Paper • 2507.23313 • Published • 1 -
SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering
Paper • 2508.03448 • Published • 6 -
C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor
Paper • 2508.01311 • Published • 2 -
Normalized Attention Guidance: Universal Negative Guidance for Diffusion Model
Paper • 2505.21179 • Published • 13
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LTX-2: Efficient Joint Audio-Visual Foundation Model
Paper • 2601.03233 • Published • 171 -
MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head
Paper • 2601.07832 • Published • 52 -
Motion Attribution for Video Generation
Paper • 2601.08828 • Published • 71 -
Post-LayerNorm Is Back: Stable, ExpressivE, and Deep
Paper • 2601.19895 • Published • 25
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 152 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
Paper • 2602.17100 • Published • 3 -
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant
Paper • 2603.01059 • Published • 1 -
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models
Paper • 2603.00618 • Published -
Heterogeneous Agent Collaborative Reinforcement Learning
Paper • 2603.02604 • Published • 187
-
LTX-2: Efficient Joint Audio-Visual Foundation Model
Paper • 2601.03233 • Published • 171 -
MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head
Paper • 2601.07832 • Published • 52 -
Motion Attribution for Video Generation
Paper • 2601.08828 • Published • 71 -
Post-LayerNorm Is Back: Stable, ExpressivE, and Deep
Paper • 2601.19895 • Published • 25
-
The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models
Paper • 2507.23313 • Published • 1 -
SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering
Paper • 2508.03448 • Published • 6 -
C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor
Paper • 2508.01311 • Published • 2 -
Normalized Attention Guidance: Universal Negative Guidance for Diffusion Model
Paper • 2505.21179 • Published • 13