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Collections including paper arxiv:2409.12917

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2 • 24
Training Language Models to Self-Correct via Reinforcement Learning

Paper • 2409.12917 • Published 6 days ago • 107

Training Language Models to Self-Correct via Reinforcement Learning

Paper • 2409.12917 • Published 6 days ago • 107

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 83
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Paper • 2404.10667 • Published Apr 16 • 15
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20 • 24
DoRA: Weight-Decomposed Low-Rank Adaptation

Paper • 2402.09353 • Published Feb 14 • 24

Synthetic Data and Self-Improvement

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 141
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6 • 109
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement

Paper • 2402.07456 • Published Feb 12 • 41
Learning From Mistakes Makes LLM Better Reasoner

Paper • 2310.20689 • Published Oct 31, 2023 • 28

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22 • 31
Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 43
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2 • 34
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4 • 59

ZenMoore/RoleBench

Preview • Updated Nov 23, 2023 • 5 • 74
argilla/intel-orca-dpo-pairs-helm-instruct

Viewer • Updated Feb 29 • 5 • 3 • 1
argilla/OpenHermes2.5-dpo-binarized-alpha

Viewer • Updated Feb 10 • 9.79k • 3 • 64
argilla/ultrafeedback-critique

Viewer • Updated Dec 15, 2023 • 253k • 4 • 4

ORPO: Monolithic Preference Optimization without Reference Model

Paper • 2403.07691 • Published Mar 12 • 59
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28 • 38
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7 • 46
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11 • 29

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Paper • 2403.03507 • Published Mar 6 • 182
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15 • 66
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Paper • 2403.13372 • Published Mar 20 • 58
InternLM2 Technical Report

Paper • 2403.17297 • Published Mar 26 • 28

Nemotron-4 15B Technical Report

Paper • 2402.16819 • Published Feb 26 • 42
InternLM2 Technical Report

Paper • 2403.17297 • Published Mar 26 • 28
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model

Paper • 2404.04167 • Published Apr 5 • 12
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Paper • 2402.14905 • Published Feb 22 • 107

Large Language Model (LLM) and NLP related papers.

about 22 hours ago

LoRA+: Efficient Low Rank Adaptation of Large Models

Paper • 2402.12354 • Published Feb 19 • 6
The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20 • 16
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

Paper • 2402.13249 • Published Feb 20 • 10
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 63

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