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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 22 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 82 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 145 -
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:2409.04593
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Agent Workflow Memory
Paper • 2409.07429 • Published • 29 -
MVLLaVA: An Intelligent Agent for Unified and Flexible Novel View Synthesis
Paper • 2409.07129 • Published • 7 -
Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance
Paper • 2409.04593 • Published • 24 -
Imagine yourself: Tuning-Free Personalized Image Generation
Paper • 2409.13346 • Published • 68
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Automated Design of Agentic Systems
Paper • 2408.08435 • Published • 39 -
Self-Refine: Iterative Refinement with Self-Feedback
Paper • 2303.17651 • Published • 2 -
Automating Thought of Search: A Journey Towards Soundness and Completeness
Paper • 2408.11326 • Published • 1 -
Building Math Agents with Multi-Turn Iterative Preference Learning
Paper • 2409.02392 • Published • 15
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LLM Pruning and Distillation in Practice: The Minitron Approach
Paper • 2408.11796 • Published • 57 -
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Paper • 2408.09174 • Published • 51 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 41 -
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
Paper • 2408.11878 • Published • 53
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Automated Design of Agentic Systems
Paper • 2408.08435 • Published • 39 -
On the limits of agency in agent-based models
Paper • 2409.10568 • Published • 13 -
On the Diagram of Thought
Paper • 2409.10038 • Published • 13 -
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?
Paper • 2409.07703 • Published • 67
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The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines
Paper • 2408.01050 • Published • 8 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 54 -
Towards a Unified View of Preference Learning for Large Language Models: A Survey
Paper • 2409.02795 • Published • 72 -
Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance
Paper • 2409.04593 • Published • 24
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VILA^2: VILA Augmented VILA
Paper • 2407.17453 • Published • 40 -
Octopus v4: Graph of language models
Paper • 2404.19296 • Published • 116 -
Octo-planner: On-device Language Model for Planner-Action Agents
Paper • 2406.18082 • Published • 48 -
Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models
Paper • 2408.15518 • Published • 42
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A Comparative Study on Automatic Coding of Medical Letters with Explainability
Paper • 2407.13638 • Published • 5 -
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
Paper • 2407.07061 • Published • 27 -
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 51 -
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions
Paper • 2407.06723 • Published • 11