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Collections including paper arxiv:2403.06634
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 607 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 62 -
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Paper • 2403.08763 • Published • 50 -
Stealing Part of a Production Language Model
Paper • 2403.06634 • Published • 91
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Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 50 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 53 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 45 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 23
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 53 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 50 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 137 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 19
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MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Paper • 2402.15627 • Published • 35 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 50 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 45 -
Stealing Part of a Production Language Model
Paper • 2403.06634 • Published • 91
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MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Paper • 2402.15627 • Published • 35 -
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Paper • 2402.16822 • Published • 16 -
FuseChat: Knowledge Fusion of Chat Models
Paper • 2402.16107 • Published • 37 -
Multi-LoRA Composition for Image Generation
Paper • 2402.16843 • Published • 29
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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 105 -
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 • 115
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LoRA+: Efficient Low Rank Adaptation of Large Models
Paper • 2402.12354 • Published • 6 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 21 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 12 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 67
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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 • 83 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 147 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25