Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss Paper • 2410.17243 • Published 18 days ago • 87
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning Paper • 2410.06456 • Published Oct 9 • 35
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment Paper • 2410.08193 • Published about 1 month ago • 3
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models Paper • 2409.11136 • Published Sep 17 • 21
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices Paper • 2410.00531 • Published Oct 1 • 28
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes Paper • 2306.13649 • Published Jun 23, 2023 • 16
Can Large Language Models Unlock Novel Scientific Research Ideas? Paper • 2409.06185 • Published Sep 10 • 12
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers Paper • 2409.04109 • Published Sep 6 • 43
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming Paper • 2408.16725 • Published Aug 29 • 52
The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines Paper • 2408.01050 • Published Aug 2 • 8
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Paper • 2408.02085 • Published Aug 4 • 17
Generating novel experimental hypotheses from language models: A case study on cross-dative generalization Paper • 2408.05086 • Published Aug 9 • 4
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers Paper • 2408.06195 • Published Aug 12 • 61