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Collections including paper arxiv:2203.02155

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 26
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 22
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20

DocGraphLM: Documental Graph Language Model for Information Extraction

Paper • 2401.02823 • Published Jan 5, 2024 • 36
Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4, 2024 • 65
DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 191
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration

Paper • 2309.01131 • Published Sep 3, 2023 • 1

#MustRead Papers

Signature papers in AI/ML with focus on generative AI or large language models that bring unique perspectives and/or are highly cited by peers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 77

Interesting AI papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 26
Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 8
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20

Papers to read - Reinforcement Learning

Papers I want to read, at some point. Focused on Reinforcement Learning papers.

Deep reinforcement learning from human preferences

Paper • 1706.03741 • Published Jun 12, 2017 • 4
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24
Direct Preference-based Policy Optimization without Reward Modeling

Paper • 2301.12842 • Published Jan 30, 2023
Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 17

Must Reads On Transformers and Diffusers

Explore the cutting-edge of AI with our curated list of must reads on Transformers & Diffusers, driving innovation in generative-AI and beyond.

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Paper • 1701.06538 • Published Jan 23, 2017 • 7
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 14
Language Model Evaluation Beyond Perplexity

Paper • 2106.00085 • Published May 31, 2021

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 26
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 10
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 22

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 7
Self-Consistency Improves Chain of Thought Reasoning in Language Models

Paper • 2203.11171 • Published Mar 21, 2022 • 5
MemGPT: Towards LLMs as Operating Systems

Paper • 2310.08560 • Published Oct 12, 2023 • 9
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Paper • 2310.06117 • Published Oct 9, 2023 • 2

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Paper • 2211.05100 • Published Nov 9, 2022 • 37
CsFEVER and CTKFacts: Acquiring Czech data for fact verification

Paper • 2201.11115 • Published Jan 26, 2022
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24
FinGPT: Large Generative Models for a Small Language

Paper • 2311.05640 • Published Nov 3, 2023 • 30

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 5
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 12
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 26
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 22
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20

Must Reads On Transformers and Diffusers

Explore the cutting-edge of AI with our curated list of must reads on Transformers & Diffusers, driving innovation in generative-AI and beyond.

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Paper • 1701.06538 • Published Jan 23, 2017 • 7
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 14
Language Model Evaluation Beyond Perplexity

Paper • 2106.00085 • Published May 31, 2021

DocGraphLM: Documental Graph Language Model for Information Extraction

Paper • 2401.02823 • Published Jan 5, 2024 • 36
Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4, 2024 • 65
DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 191
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration

Paper • 2309.01131 • Published Sep 3, 2023 • 1

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 26
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 10
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 22

#MustRead Papers

Signature papers in AI/ML with focus on generative AI or large language models that bring unique perspectives and/or are highly cited by peers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 77

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 7
Self-Consistency Improves Chain of Thought Reasoning in Language Models

Paper • 2203.11171 • Published Mar 21, 2022 • 5
MemGPT: Towards LLMs as Operating Systems

Paper • 2310.08560 • Published Oct 12, 2023 • 9
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Paper • 2310.06117 • Published Oct 9, 2023 • 2

Interesting AI papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 26
Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 8
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Paper • 2211.05100 • Published Nov 9, 2022 • 37
CsFEVER and CTKFacts: Acquiring Czech data for fact verification

Paper • 2201.11115 • Published Jan 26, 2022
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24
FinGPT: Large Generative Models for a Small Language

Paper • 2311.05640 • Published Nov 3, 2023 • 30

Papers to read - Reinforcement Learning

Papers I want to read, at some point. Focused on Reinforcement Learning papers.

Deep reinforcement learning from human preferences

Paper • 1706.03741 • Published Jun 12, 2017 • 4
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24
Direct Preference-based Policy Optimization without Reward Modeling

Paper • 2301.12842 • Published Jan 30, 2023
Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 17

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 5
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 12
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

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