Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
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2401.12474
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Published
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35
Data
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LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Paper • 2403.12968 • Published • 24 -
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
Paper • 2310.00746 • Published • 1 -
LESS: Selecting Influential Data for Targeted Instruction Tuning
Paper • 2402.04333 • Published • 3 -
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
Paper • 2306.01116 • Published • 31 -
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Paper • 2406.17557 • Published • 86 -
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Paper • 2406.20094 • Published • 94 -
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Paper • 2406.08464 • Published • 65 -
Dallah: A Dialect-Aware Multimodal Large Language Model for Arabic
Paper • 2407.18129 • Published • 11 -
Meltemi: The first open Large Language Model for Greek
Paper • 2407.20743 • Published • 67 -
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
Paper • 2407.19594 • Published • 20 -
DeepSpeak Dataset v1.0
Paper • 2408.05366 • Published • 11 -
Synth-Empathy: Towards High-Quality Synthetic Empathy Data
Paper • 2407.21669 • Published -
DiaSynth -- Synthetic Dialogue Generation Framework
Paper • 2409.19020 • Published • 19 -
CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models
Paper • 2410.18505 • Published • 8 -
Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models
Paper • 2404.02823 • Published • 2