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Collections including paper arxiv:2401.12954

Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer

Paper • 2311.06720 • Published Nov 12, 2023 • 9
System 2 Attention (is something you might need too)

Paper • 2311.11829 • Published Nov 20, 2023 • 44
TinyGSM: achieving >80% on GSM8k with small language models

Paper • 2312.09241 • Published Dec 14, 2023 • 40
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 31

💫 Glossary https://osanseviero.github.io/hackerllama/blog/posts/hitchhiker_guide/

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4, 2024 • 65
Learning To Teach Large Language Models Logical Reasoning

Paper • 2310.09158 • Published Oct 13, 2023 • 1
ChipNeMo: Domain-Adapted LLMs for Chip Design

Paper • 2311.00176 • Published Oct 31, 2023 • 9
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Paper • 2308.09583 • Published Aug 18, 2023 • 7

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Paper • 2309.14509 • Published Sep 25, 2023 • 19
LLM Augmented LLMs: Expanding Capabilities through Composition

Paper • 2401.02412 • Published Jan 4, 2024 • 38
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11, 2024 • 57
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 22

Research Papers

A collection of papers focused on LLM

Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 77
ToolTalk: Evaluating Tool-Usage in a Conversational Setting

Paper • 2311.10775 • Published Nov 15, 2023 • 10
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning

Paper • 2311.11077 • Published Nov 18, 2023 • 29
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Paper • 2311.11501 • Published Nov 20, 2023 • 37

Research on LLM

When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 4
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 • 12
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53

Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes

Paper • 2301.01751 • Published Jan 4, 2023
Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Paper • 2307.11768 • Published Jul 17, 2023 • 13
Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding

Paper • 2307.15337 • Published Jul 28, 2023 • 38

Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer

Paper • 2311.06720 • Published Nov 12, 2023 • 9
System 2 Attention (is something you might need too)

Paper • 2311.11829 • Published Nov 20, 2023 • 44
TinyGSM: achieving >80% on GSM8k with small language models

Paper • 2312.09241 • Published Dec 14, 2023 • 40
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 31

Research Papers

A collection of papers focused on LLM

Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 77
ToolTalk: Evaluating Tool-Usage in a Conversational Setting

Paper • 2311.10775 • Published Nov 15, 2023 • 10
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning

Paper • 2311.11077 • Published Nov 18, 2023 • 29
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Paper • 2311.11501 • Published Nov 20, 2023 • 37

💫 Glossary https://osanseviero.github.io/hackerllama/blog/posts/hitchhiker_guide/

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4, 2024 • 65
Learning To Teach Large Language Models Logical Reasoning

Paper • 2310.09158 • Published Oct 13, 2023 • 1
ChipNeMo: Domain-Adapted LLMs for Chip Design

Paper • 2311.00176 • Published Oct 31, 2023 • 9
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Paper • 2308.09583 • Published Aug 18, 2023 • 7

Research on LLM

When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 4
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 • 12
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Paper • 2309.14509 • Published Sep 25, 2023 • 19
LLM Augmented LLMs: Expanding Capabilities through Composition

Paper • 2401.02412 • Published Jan 4, 2024 • 38
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11, 2024 • 57
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 22

Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes

Paper • 2301.01751 • Published Jan 4, 2023
Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Paper • 2307.11768 • Published Jul 17, 2023 • 13
Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding

Paper • 2307.15337 • Published Jul 28, 2023 • 38

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