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Collections including paper arxiv:2310.09753

Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model

Paper • 2310.09520 • Published Oct 14, 2023 • 11
When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 3
Improving Large Language Model Fine-tuning for Solving Math Problems

Paper • 2310.10047 • Published Oct 16, 2023 • 7
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing

Paper • 2311.00571 • Published Nov 1, 2023 • 43

Ada-Instruct: Adapting Instruction Generators for Complex Reasoning

Paper • 2310.04484 • Published Oct 6, 2023 • 5
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 5
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 81
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16

Research on LLM

When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 3
In-Context Pretraining: Language Modeling Beyond Document Boundaries

Paper • 2310.10638 • Published Oct 16, 2023 • 30
Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model

Paper • 2310.09520 • Published Oct 14, 2023 • 11
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53

LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Paper • 2310.08659 • Published Oct 12, 2023 • 27
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Paper • 2309.14717 • Published Sep 26, 2023 • 45
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers

Paper • 2309.16119 • Published Sep 28, 2023 • 1
LoRA ensembles for large language model fine-tuning

Paper • 2310.00035 • Published Sep 29, 2023 • 2

Context compression

In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 43
When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 3
Improving Length-Generalization in Transformers via Task Hinting

Paper • 2310.00726 • Published Oct 1, 2023 • 1
In-context Autoencoder for Context Compression in a Large Language Model

Paper • 2307.06945 • Published Jul 13, 2023 • 28

Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model

Paper • 2310.09520 • Published Oct 14, 2023 • 11
When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 3
Improving Large Language Model Fine-tuning for Solving Math Problems

Paper • 2310.10047 • Published Oct 16, 2023 • 7
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing

Paper • 2311.00571 • Published Nov 1, 2023 • 43

LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Paper • 2310.08659 • Published Oct 12, 2023 • 27
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Paper • 2309.14717 • Published Sep 26, 2023 • 45
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers

Paper • 2309.16119 • Published Sep 28, 2023 • 1
LoRA ensembles for large language model fine-tuning

Paper • 2310.00035 • Published Sep 29, 2023 • 2

Ada-Instruct: Adapting Instruction Generators for Complex Reasoning

Paper • 2310.04484 • Published Oct 6, 2023 • 5
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 5
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 81
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16

Context compression

In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 43
When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 3
Improving Length-Generalization in Transformers via Task Hinting

Paper • 2310.00726 • Published Oct 1, 2023 • 1
In-context Autoencoder for Context Compression in a Large Language Model

Paper • 2307.06945 • Published Jul 13, 2023 • 28

Research on LLM

When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 3
In-Context Pretraining: Language Modeling Beyond Document Boundaries

Paper • 2310.10638 • Published Oct 16, 2023 • 30
Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model

Paper • 2310.09520 • Published Oct 14, 2023 • 11
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53

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