Collection by
Jul 30
Jul 30
Collections
Discover the best community collections!
Collections including paper arxiv:2401.00368
Collection by
Jul 25
Jul 25
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Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 79 -
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 43 -
Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
Paper • 2407.10627 • Published • 1 -
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation
Paper • 2402.18334 • Published • 12
Collection by
Jul 24
Jul 24
Collection by
9 days ago
9 days ago
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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 • 75 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 39 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 16
Collection by
Jul 23
Jul 23
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Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 79 -
Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training
Paper • 2405.06932 • Published • 16 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 47 -
Multilingual E5 Text Embeddings: A Technical Report
Paper • 2402.05672 • Published • 19
Collection by
Apr 16
Apr 16
Collection by
Apr 4
Apr 4
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Text Embeddings by Weakly-Supervised Contrastive Pre-training
Paper • 2212.03533 • Published • 1 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 47 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 79 -
Generative Representational Instruction Tuning
Paper • 2402.09906 • Published • 51
Collection by
Mar 16
Mar 16
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 590 -
Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
Paper • 2310.19102 • Published • 9 -
AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning
Paper • 2311.00257 • Published • 8 -
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Paper • 2402.04291 • Published • 48
Collection by
27 days ago
27 days ago
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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 182 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 66 -
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Paper • 2403.13372 • Published • 58 -
InternLM2 Technical Report
Paper • 2403.17297 • Published • 28
Collection by
Mar 5
Mar 5