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Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
Collections
Discover the best community collections!
Collections including paper arxiv:2410.22330
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RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Paper • 2409.10516 • Published • 43 -
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
Paper • 2409.11242 • Published • 7 -
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models
Paper • 2409.11136 • Published • 23 -
On the Diagram of Thought
Paper • 2409.10038 • Published • 14
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What matters when building vision-language models?
Paper • 2405.02246 • Published • 103 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90 -
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark
Paper • 2405.19707 • Published • 8 -
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations
Paper • 2410.08049 • Published • 8
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Task Vectors are Cross-Modal
Paper • 2410.22330 • Published • 11 -
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding
Paper • 2502.01341 • Published • 39 -
DASH: Detection and Assessment of Systematic Hallucinations of VLMs
Paper • 2503.23573 • Published • 12 -
Kimi-VL Technical Report
Paper • 2504.07491 • Published • 132
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Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 65 -
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
Paper • 2408.12590 • Published • 36 -
Real-Time Video Generation with Pyramid Attention Broadcast
Paper • 2408.12588 • Published • 17 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 63
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Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
-
Task Vectors are Cross-Modal
Paper • 2410.22330 • Published • 11 -
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding
Paper • 2502.01341 • Published • 39 -
DASH: Detection and Assessment of Systematic Hallucinations of VLMs
Paper • 2503.23573 • Published • 12 -
Kimi-VL Technical Report
Paper • 2504.07491 • Published • 132
-
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Paper • 2409.10516 • Published • 43 -
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
Paper • 2409.11242 • Published • 7 -
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models
Paper • 2409.11136 • Published • 23 -
On the Diagram of Thought
Paper • 2409.10038 • Published • 14
-
Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 65 -
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
Paper • 2408.12590 • Published • 36 -
Real-Time Video Generation with Pyramid Attention Broadcast
Paper • 2408.12588 • Published • 17 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 63
-
What matters when building vision-language models?
Paper • 2405.02246 • Published • 103 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90 -
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark
Paper • 2405.19707 • Published • 8 -
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations
Paper • 2410.08049 • Published • 8