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On the Societal Impact of Open Foundation Models
Paper • 2403.07918 • Published • 16 -
sDPO: Don't Use Your Data All at Once
Paper • 2403.19270 • Published • 39 -
Hallucinations or Attention Misdirection? The Path to Strategic Value Extraction in Business Using Large Language Models
Paper • 2402.14002 • Published -
Evaluating the Social Impact of Generative AI Systems in Systems and Society
Paper • 2306.05949 • Published • 8
Collections
Discover the best community collections!
Collections including paper arxiv:2403.07918
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VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Paper • 2403.10517 • Published • 31 -
SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents
Paper • 2403.08715 • Published • 20 -
On the Societal Impact of Open Foundation Models
Paper • 2403.07918 • Published • 16 -
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding
Paper • 2403.11481 • Published • 12
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Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 25 -
On the Societal Impact of Open Foundation Models
Paper • 2403.07918 • Published • 16 -
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 32 -
Instruction Tuning for Large Language Models: A Survey
Paper • 2308.10792 • Published • 1
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 52 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 49 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 134 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 18
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 602 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 126 -
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Paper • 2402.13616 • Published • 45 -
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Paper • 2402.19479 • Published • 32
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 21 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 80 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 143 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25