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Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Paper • 2510.09201 • Published • 50 -
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 • 40
Collections
Discover the best community collections!
Collections including paper arxiv:2403.10131
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EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
Paper • 2408.04259 • Published • 2 -
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 • 55 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 82 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 40 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17
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Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots
Paper • 2405.07990 • Published • 20 -
Large Language Models as Planning Domain Generators
Paper • 2405.06650 • Published • 13 -
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation
Paper • 2404.12753 • Published • 43 -
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Paper • 2404.07972 • Published • 51
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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 • 60 -
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations
Paper • 2403.09704 • Published • 32 -
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 • 115 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 91 -
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 53 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72
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Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 96 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 81 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 68
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Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
Paper • 2403.01432 • Published • 3 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72 -
BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models
Paper • 2403.18365 • Published • 2 -
When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively
Paper • 2404.19705 • Published
-
Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Paper • 2510.09201 • Published • 50 -
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 • 40
-
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 • 2 -
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 • 60 -
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations
Paper • 2403.09704 • Published • 32 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72
-
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 55 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 82 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 40 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17
-
Attention Is All You Need
Paper • 1706.03762 • Published • 115 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 91 -
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 53 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72
-
Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 96 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 81 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 68
-
Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots
Paper • 2405.07990 • Published • 20 -
Large Language Models as Planning Domain Generators
Paper • 2405.06650 • Published • 13 -
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation
Paper • 2404.12753 • Published • 43 -
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Paper • 2404.07972 • Published • 51
-
Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
Paper • 2403.01432 • Published • 3 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72 -
BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models
Paper • 2403.18365 • Published • 2 -
When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively
Paper • 2404.19705 • Published