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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:2403.14403
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Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Paper • 2403.14403 • Published • 7 -
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
Paper • 2406.19215 • Published • 31 -
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
Paper • 2410.01782 • Published • 10 -
LLM-Independent Adaptive RAG: Let the Question Speak for Itself
Paper • 2505.04253 • Published • 14
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RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72 -
Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
Paper • 2402.01722 • Published -
Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
Paper • 2403.01432 • Published • 3 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 26
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Multilingual Instruction Tuning With Just a Pinch of Multilinguality
Paper • 2401.01854 • Published • 11 -
LLaMA Beyond English: An Empirical Study on Language Capability Transfer
Paper • 2401.01055 • Published • 55 -
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Paper • 2401.01325 • Published • 27 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 82
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SPAR: Scholar Paper Retrieval with LLM-based Agents for Enhanced Academic Search
Paper • 2507.15245 • Published • 11 -
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 35 -
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
Paper • 2403.05612 • Published • 3 -
PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval
Paper • 2402.19273 • Published • 3
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Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks
Paper • 2412.15605 • Published • 2 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 78 -
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Paper • 2403.14403 • Published • 7 -
Compressed Chain of Thought: Efficient Reasoning Through Dense Representations
Paper • 2412.13171 • Published • 35
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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 10 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
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 • 117
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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
-
SPAR: Scholar Paper Retrieval with LLM-based Agents for Enhanced Academic Search
Paper • 2507.15245 • Published • 11 -
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 35 -
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
Paper • 2403.05612 • Published • 3 -
PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval
Paper • 2402.19273 • Published • 3
-
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Paper • 2403.14403 • Published • 7 -
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
Paper • 2406.19215 • Published • 31 -
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
Paper • 2410.01782 • Published • 10 -
LLM-Independent Adaptive RAG: Let the Question Speak for Itself
Paper • 2505.04253 • Published • 14
-
Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks
Paper • 2412.15605 • Published • 2 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 78 -
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Paper • 2403.14403 • Published • 7 -
Compressed Chain of Thought: Efficient Reasoning Through Dense Representations
Paper • 2412.13171 • Published • 35
-
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72 -
Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
Paper • 2402.01722 • Published -
Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
Paper • 2403.01432 • Published • 3 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 26
-
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 10 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
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 • 117
-
Multilingual Instruction Tuning With Just a Pinch of Multilinguality
Paper • 2401.01854 • Published • 11 -
LLaMA Beyond English: An Empirical Study on Language Capability Transfer
Paper • 2401.01055 • Published • 55 -
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Paper • 2401.01325 • Published • 27 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 82