Collections
Discover the best community collections!
Collections including paper arxiv:2409.04109
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Can Large Language Models Unlock Novel Scientific Research Ideas?
Paper • 2409.06185 • Published • 9 -
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Paper • 2409.04109 • Published • 37 -
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Paper • 2408.06292 • Published • 114
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SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Paper • 2408.15545 • Published • 32 -
InkubaLM: A small language model for low-resource African languages
Paper • 2408.17024 • Published • 10 -
From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents
Paper • 2409.03512 • Published • 25 -
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Paper • 2409.04109 • Published • 37
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FLAME: Factuality-Aware Alignment for Large Language Models
Paper • 2405.01525 • Published • 24 -
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Paper • 2405.14333 • Published • 32 -
Transformers Can Do Arithmetic with the Right Embeddings
Paper • 2405.17399 • Published • 51 -
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture
Paper • 2405.18991 • Published • 12
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Can large language models explore in-context?
Paper • 2403.15371 • Published • 31 -
Advancing LLM Reasoning Generalists with Preference Trees
Paper • 2404.02078 • Published • 43 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 34 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 59
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Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
Paper • 2402.14797 • Published • 19 -
Subobject-level Image Tokenization
Paper • 2402.14327 • Published • 17 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 107 -
GPTVQ: The Blessing of Dimensionality for LLM Quantization
Paper • 2402.15319 • Published • 19
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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 • 78 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 140 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25