-
Visual In-Context Prompting
Paper • 2311.13601 • Published • 16 -
Textbooks Are All You Need
Paper • 2306.11644 • Published • 143 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 3 -
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
Paper • 2303.02927 • Published • 3
Collections
Discover the best community collections!
Collections including paper arxiv:2402.16671
-
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 17 -
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Paper • 2402.16671 • Published • 26 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 87 -
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Paper • 2405.17428 • Published • 16
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 141 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 20 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 63
-
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming
Paper • 2311.07689 • Published • 7 -
DiLoCo: Distributed Low-Communication Training of Language Models
Paper • 2311.08105 • Published • 14 -
SparQ Attention: Bandwidth-Efficient LLM Inference
Paper • 2312.04985 • Published • 38 -
Aligning Large Language Models with Counterfactual DPO
Paper • 2401.09566 • Published • 2