Agents Agent-as-a-Judge: Evaluate Agents with Agents Paper • 2410.10934 • Published Oct 14, 2024 • 23
LLM-inference-speed LLM in a flash: Efficient Large Language Model Inference with Limited Memory Paper • 2312.11514 • Published Dec 12, 2023 • 260
LLM in a flash: Efficient Large Language Model Inference with Limited Memory Paper • 2312.11514 • Published Dec 12, 2023 • 260
RAG Methods RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture Paper • 2401.08406 • Published Jan 16, 2024 • 37 RAFT: Adapting Language Model to Domain Specific RAG Paper • 2403.10131 • Published Mar 15, 2024 • 72
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture Paper • 2401.08406 • Published Jan 16, 2024 • 37
RAFT: Adapting Language Model to Domain Specific RAG Paper • 2403.10131 • Published Mar 15, 2024 • 72
Models How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites Paper • 2404.16821 • Published Apr 25, 2024 • 58
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites Paper • 2404.16821 • Published Apr 25, 2024 • 58
LLM Reasoning ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent Paper • 2312.10003 • Published Dec 15, 2023 • 44 Self-Discover: Large Language Models Self-Compose Reasoning Structures Paper • 2402.03620 • Published Feb 6, 2024 • 117
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent Paper • 2312.10003 • Published Dec 15, 2023 • 44
Self-Discover: Large Language Models Self-Compose Reasoning Structures Paper • 2402.03620 • Published Feb 6, 2024 • 117
Graph-LLM DocGraphLM: Documental Graph Language Model for Information Extraction Paper • 2401.02823 • Published Jan 5, 2024 • 36
DocGraphLM: Documental Graph Language Model for Information Extraction Paper • 2401.02823 • Published Jan 5, 2024 • 36
Synthetic Data Grandmaster-Level Chess Without Search Paper • 2402.04494 • Published Feb 7, 2024 • 69
Agents Agent-as-a-Judge: Evaluate Agents with Agents Paper • 2410.10934 • Published Oct 14, 2024 • 23
LLM Reasoning ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent Paper • 2312.10003 • Published Dec 15, 2023 • 44 Self-Discover: Large Language Models Self-Compose Reasoning Structures Paper • 2402.03620 • Published Feb 6, 2024 • 117
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent Paper • 2312.10003 • Published Dec 15, 2023 • 44
Self-Discover: Large Language Models Self-Compose Reasoning Structures Paper • 2402.03620 • Published Feb 6, 2024 • 117
LLM-inference-speed LLM in a flash: Efficient Large Language Model Inference with Limited Memory Paper • 2312.11514 • Published Dec 12, 2023 • 260
LLM in a flash: Efficient Large Language Model Inference with Limited Memory Paper • 2312.11514 • Published Dec 12, 2023 • 260
Graph-LLM DocGraphLM: Documental Graph Language Model for Information Extraction Paper • 2401.02823 • Published Jan 5, 2024 • 36
DocGraphLM: Documental Graph Language Model for Information Extraction Paper • 2401.02823 • Published Jan 5, 2024 • 36
RAG Methods RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture Paper • 2401.08406 • Published Jan 16, 2024 • 37 RAFT: Adapting Language Model to Domain Specific RAG Paper • 2403.10131 • Published Mar 15, 2024 • 72
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture Paper • 2401.08406 • Published Jan 16, 2024 • 37
RAFT: Adapting Language Model to Domain Specific RAG Paper • 2403.10131 • Published Mar 15, 2024 • 72
Synthetic Data Grandmaster-Level Chess Without Search Paper • 2402.04494 • Published Feb 7, 2024 • 69
Models How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites Paper • 2404.16821 • Published Apr 25, 2024 • 58
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites Paper • 2404.16821 • Published Apr 25, 2024 • 58
