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Collections including paper arxiv:2401.15391
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MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
Paper • 2401.15391 • Published • 6 -
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
Paper • 2404.06910 • Published • 1 -
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
Paper • 2404.18796 • Published • 68
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MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
Paper • 2401.15391 • Published • 6 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 65 -
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
Paper • 2404.06910 • Published • 1 -
Stylus: Automatic Adapter Selection for Diffusion Models
Paper • 2404.18928 • Published • 14
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MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
Paper • 2401.15391 • Published • 6 -
Long-form factuality in large language models
Paper • 2403.18802 • Published • 23 -
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 32 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 53
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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 94 -
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization
Paper • 2402.09320 • Published • 6 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 109
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Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 38 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 75 -
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Paper • 2309.09400 • Published • 81 -
Language Modeling Is Compression
Paper • 2309.10668 • Published • 82