S-LoRA: Serving Thousands of Concurrent LoRA Adapters
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2311.03285
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Published
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28
Alignment: FineTuning-Preference
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Tailoring Self-Rationalizers with Multi-Reward Distillation
Paper • 2311.02805 • Published • 3 -
Ultra-Long Sequence Distributed Transformer
Paper • 2311.02382 • Published • 2 -
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
Paper • 2309.11235 • Published • 16 -
SiRA: Sparse Mixture of Low Rank Adaptation
Paper • 2311.09179 • Published • 8 -
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
Paper • 2311.13600 • Published • 42 -
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Paper • 2311.13231 • Published • 26 -
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Paper • 2311.03099 • Published • 28 -
Rethinking Compression: Reduced Order Modelling of Latent Features in Large Language Models
Paper • 2312.07046 • Published • 12 -
"I Want It That Way": Enabling Interactive Decision Support Using Large Language Models and Constraint Programming
Paper • 2312.06908 • Published • 5 -
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
Paper • 2312.06353 • Published • 5 -
TOFU: A Task of Fictitious Unlearning for LLMs
Paper • 2401.06121 • Published • 15 -
Patchscope: A Unifying Framework for Inspecting Hidden Representations of Language Models
Paper • 2401.06102 • Published • 20 -
Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages
Paper • 2401.05811 • Published • 6 -
LLM Augmented LLMs: Expanding Capabilities through Composition
Paper • 2401.02412 • Published • 36 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 65 -
Contrastive Prefence Learning: Learning from Human Feedback without RL
Paper • 2310.13639 • Published • 24 -
selfrag/selfrag_train_data
Viewer • Updated • 146k • 147 • 66 -
Efficient Exploration for LLMs
Paper • 2402.00396 • Published • 21 -
Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models
Paper • 2401.10716 • Published • 1 -
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Paper • 2401.06080 • Published • 26 -
Secrets of RLHF in Large Language Models Part I: PPO
Paper • 2307.04964 • Published • 28 -
Transforming and Combining Rewards for Aligning Large Language Models
Paper • 2402.00742 • Published • 11 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 28 -
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning
Paper • 2401.07950 • Published • 4 -
Generative Representational Instruction Tuning
Paper • 2402.09906 • Published • 51 -
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
Paper • 2402.10210 • Published • 29 -
RLVF: Learning from Verbal Feedback without Overgeneralization
Paper • 2402.10893 • Published • 10