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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 • 84 -
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:2403.10131
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Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 39 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 81 -
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Paper • 2309.09400 • Published • 85 -
Language Modeling Is Compression
Paper • 2309.10668 • Published • 83
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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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LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Paper • 2403.12968 • Published • 25 -
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 59 -
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations
Paper • 2403.09704 • Published • 33 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72
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Attention Is All You Need
Paper • 1706.03762 • Published • 96 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 89 -
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 48 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 31 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 22 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
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Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Paper • 2510.09201 • Published • 48 -
Similarity-Based Domain Adaptation with LLMs
Paper • 2503.05281 • Published -
Text Clustering as Classification with LLMs
Paper • 2410.00927 • Published -
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs
Paper • 2504.17432 • Published • 39
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EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
Paper • 2408.04259 • Published • 1 -
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction
Paper • 2408.04948 • Published • 1 -
Graph Retrieval-Augmented Generation: A Survey
Paper • 2408.08921 • Published • 4 -
Writing in the Margins: Better Inference Pattern for Long Context Retrieval
Paper • 2408.14906 • Published • 144
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PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 53 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 81 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 41 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
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
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 31 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 22 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
-
Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 39 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 81 -
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Paper • 2309.09400 • Published • 85 -
Language Modeling Is Compression
Paper • 2309.10668 • Published • 83
-
Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Paper • 2510.09201 • Published • 48 -
Similarity-Based Domain Adaptation with LLMs
Paper • 2503.05281 • Published -
Text Clustering as Classification with LLMs
Paper • 2410.00927 • Published -
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs
Paper • 2504.17432 • Published • 39
-
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
-
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
Paper • 2408.04259 • Published • 1 -
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction
Paper • 2408.04948 • Published • 1 -
Graph Retrieval-Augmented Generation: A Survey
Paper • 2408.08921 • Published • 4 -
Writing in the Margins: Better Inference Pattern for Long Context Retrieval
Paper • 2408.14906 • Published • 144
-
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Paper • 2403.12968 • Published • 25 -
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 59 -
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations
Paper • 2403.09704 • Published • 33 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72
-
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 53 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 81 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 41 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17
-
Attention Is All You Need
Paper • 1706.03762 • Published • 96 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 89 -
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 48 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72