Lost in the Middle: How Language Models Use Long Contexts Paper • 2307.03172 • Published Jul 6, 2023 • 36
Can Knowledge Editing Really Correct Hallucinations? Paper • 2410.16251 • Published 12 days ago • 52
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss Paper • 2410.17243 • Published 11 days ago • 83
LLMtimesMapReduce: Simplified Long-Sequence Processing using Large Language Models Paper • 2410.09342 • Published 22 days ago • 37
GLEE: A Unified Framework and Benchmark for Language-based Economic Environments Paper • 2410.05254 • Published 26 days ago • 80
jina-embeddings-v3: Multilingual Embeddings With Task LoRA Paper • 2409.10173 • Published Sep 16 • 23
MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery Paper • 2409.05591 • Published Sep 9 • 28
RAFT: Adapting Language Model to Domain Specific RAG Paper • 2403.10131 • Published Mar 15 • 67
Writing in the Margins: Better Inference Pattern for Long Context Retrieval Paper • 2408.14906 • Published Aug 27 • 138
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data Paper • 2409.03810 • Published Sep 5 • 30
LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA Paper • 2409.02897 • Published Sep 4 • 44
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs Paper • 2408.07055 • Published Aug 13 • 65
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers Paper • 2408.06195 • Published Aug 12 • 61
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery Paper • 2408.06292 • Published Aug 12 • 115
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation Paper • 2408.02545 • Published Aug 5 • 33
Improving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuning Paper • 2408.00690 • Published Aug 1 • 21