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Discover the best community collections!

Collections including paper arxiv:2402.10193

Rethinking Optimization and Architecture for Tiny Language Models

Paper • 2402.02791 • Published Feb 5, 2024 • 13
More Agents Is All You Need

Paper • 2402.05120 • Published Feb 3, 2024 • 53
Scaling Laws for Forgetting When Fine-Tuning Large Language Models

Paper • 2401.05605 • Published Jan 11, 2024
Aligning Large Language Models with Counterfactual DPO

Paper • 2401.09566 • Published Jan 17, 2024 • 2

interesting stuff

Chain-of-Verification Reduces Hallucination in Large Language Models

Paper • 2309.11495 • Published Sep 20, 2023 • 37
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 77
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

Paper • 2309.09400 • Published Sep 17, 2023 • 85
Language Modeling Is Compression

Paper • 2309.10668 • Published Sep 19, 2023 • 83

Papers for finetuning

LLaMA Pro: Progressive LLaMA with Block Expansion

Paper • 2401.02415 • Published Jan 4, 2024 • 53
Datasheets for Datasets

Paper • 1803.09010 • Published Mar 23, 2018 • 2
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 20
PockEngine: Sparse and Efficient Fine-tuning in a Pocket

Paper • 2310.17752 • Published Oct 26, 2023 • 14

BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 20
OneBit: Towards Extremely Low-bit Large Language Models

Paper • 2402.11295 • Published Feb 17, 2024 • 24
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Paper • 2402.04291 • Published Feb 6, 2024 • 49
GPTVQ: The Blessing of Dimensionality for LLM Quantization

Paper • 2402.15319 • Published Feb 23, 2024 • 19

Speculative Streaming: Fast LLM Inference without Auxiliary Models

Paper • 2402.11131 • Published Feb 16, 2024 • 43
Generative Representational Instruction Tuning

Paper • 2402.09906 • Published Feb 15, 2024 • 54
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 105
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 20

JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Paper • 2310.17631 • Published Oct 26, 2023 • 34
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 54
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 105
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 20

BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 20
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

Paper • 2402.16671 • Published Feb 26, 2024 • 27
LoRA Learns Less and Forgets Less

Paper • 2405.09673 • Published May 15, 2024 • 88
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Paper • 2405.17428 • Published May 27, 2024 • 18

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Paper • 2402.01739 • Published Jan 29, 2024 • 27
Rethinking Interpretability in the Era of Large Language Models

Paper • 2402.01761 • Published Jan 30, 2024 • 23
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 116
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model

Paper • 2402.07827 • Published Feb 12, 2024 • 47

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 105
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15, 2024 • 41
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 20
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Paper • 2402.09727 • Published Feb 15, 2024 • 37

Data Efficient Approaches

How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15, 2024 • 41
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Paper • 2403.15042 • Published Mar 22, 2024 • 26
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets

Paper • 2403.03194 • Published Mar 5, 2024 • 14
Orca-Math: Unlocking the potential of SLMs in Grade School Math

Paper • 2402.14830 • Published Feb 16, 2024 • 24

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