-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
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:2508.10419
-
CoRAG: Collaborative Retrieval-Augmented Generation
Paper • 2504.01883 • Published • 9 -
ReZero: Enhancing LLM search ability by trying one-more-time
Paper • 2504.11001 • Published • 16 -
Retrieval-Augmented Generation with Conflicting Evidence
Paper • 2504.13079 • Published • 6 -
NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
Paper • 2504.11544 • Published • 44
-
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
Paper • 2405.19893 • Published • 33 -
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries
Paper • 2406.12824 • Published • 21 -
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
Paper • 2406.15319 • Published • 64 -
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
Paper • 2406.14972 • Published • 7
-
Leafy Spurge Dataset: Real-world Weed Classification Within Aerial Drone Imagery
Paper • 2405.03702 • Published -
RaceVLA: VLA-based Racing Drone Navigation with Human-like Behaviour
Paper • 2503.02572 • Published -
DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains
Paper • 2412.04789 • Published -
HazyDet: Open-Source Benchmark for Drone-View Object Detection with Depth-Cues in Hazy Scenes
Paper • 2409.19833 • Published
-
LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 34 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 27 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 126 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22
-
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference
Paper • 2407.14057 • Published • 46 -
OpenThoughts: Data Recipes for Reasoning Models
Paper • 2506.04178 • Published • 48 -
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games
Paper • 2506.03610 • Published • 9 -
Vision Language Models are Biased
Paper • 2505.23941 • Published • 23
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Leafy Spurge Dataset: Real-world Weed Classification Within Aerial Drone Imagery
Paper • 2405.03702 • Published -
RaceVLA: VLA-based Racing Drone Navigation with Human-like Behaviour
Paper • 2503.02572 • Published -
DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains
Paper • 2412.04789 • Published -
HazyDet: Open-Source Benchmark for Drone-View Object Detection with Depth-Cues in Hazy Scenes
Paper • 2409.19833 • Published
-
CoRAG: Collaborative Retrieval-Augmented Generation
Paper • 2504.01883 • Published • 9 -
ReZero: Enhancing LLM search ability by trying one-more-time
Paper • 2504.11001 • Published • 16 -
Retrieval-Augmented Generation with Conflicting Evidence
Paper • 2504.13079 • Published • 6 -
NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
Paper • 2504.11544 • Published • 44
-
LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 34 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 27 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 126 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22
-
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference
Paper • 2407.14057 • Published • 46 -
OpenThoughts: Data Recipes for Reasoning Models
Paper • 2506.04178 • Published • 48 -
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games
Paper • 2506.03610 • Published • 9 -
Vision Language Models are Biased
Paper • 2505.23941 • Published • 23
-
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
Paper • 2405.19893 • Published • 33 -
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries
Paper • 2406.12824 • Published • 21 -
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
Paper • 2406.15319 • Published • 64 -
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
Paper • 2406.14972 • Published • 7