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Collections including paper arxiv:2005.14165

VLM Foundational

LoRA: Low-Rank Adaptation of Large Language Models

Paper • 2106.09685 • Published Jun 17, 2021 • 61
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 15
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 10
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24
GPT-4 Technical Report

Paper • 2303.08774 • Published Mar 15, 2023 • 7

Language Models - Essential Research Papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 124
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 24
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 252

Toolkit - AI Papers

Neural Machine Translation by Jointly Learning to Align and Translate

Paper • 1409.0473 • Published Sep 1, 2014 • 7
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 124
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 29
Hierarchical Reasoning Model

Paper • 2506.21734 • Published Jun 26, 2025 • 54

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Paper • 2006.03654 • Published Jun 5, 2020 • 3
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 29
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 10
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20

Papers reimplemented

List of research papers, architectures, and techniques reimplemented in LLM-quest or Hugging Face's TRL. Missing: Qwen3.5, Qwen3-Next, GPT-2

VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training

Paper • 2602.10693 • Published Feb 11 • 221
Reinforced Attention Learning

Paper • 2602.04884 • Published Feb 4 • 30
Learning to Reason in 13 Parameters

Paper • 2602.04118 • Published Feb 4 • 6
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Paper • 2405.17604 • Published May 27, 2024 • 3

LLM Reasoning & Planning Techniques

CoT, ToT, GoT, ReAct, ReWOO prompting techniques for LLM reasoning with implementation guidance and benchmarks.

deepseek-ai/DeepSeek-R1

Text Generation • 685B • Updated Mar 27, 2025 • 5.75M • • 13.4k
Qwen/Qwen2.5-Coder-32B-Instruct

Text Generation • 33B • Updated Jan 12, 2025 • 1.48M • • 2.03k
google/gemma-2-27b-it

Text Generation • 27B • Updated Aug 27, 2024 • 131k • • 568
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15

paper digestion

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 29
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 124
Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation

Paper • 2510.23581 • Published Oct 27, 2025 • 42

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
Large Language Models Are Human-Level Prompt Engineers

Paper • 2211.01910 • Published Nov 3, 2022 • 1
Lost in the Middle: How Language Models Use Long Contexts

Paper • 2307.03172 • Published Jul 6, 2023 • 44
Large Language Models are Zero-Shot Reasoners

Paper • 2205.11916 • Published May 24, 2022 • 3

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9, 2025 • 265
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 95
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 19

VLM Foundational

LoRA: Low-Rank Adaptation of Large Language Models

Paper • 2106.09685 • Published Jun 17, 2021 • 61
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 15
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

Papers reimplemented

List of research papers, architectures, and techniques reimplemented in LLM-quest or Hugging Face's TRL. Missing: Qwen3.5, Qwen3-Next, GPT-2

VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training

Paper • 2602.10693 • Published Feb 11 • 221
Reinforced Attention Learning

Paper • 2602.04884 • Published Feb 4 • 30
Learning to Reason in 13 Parameters

Paper • 2602.04118 • Published Feb 4 • 6
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Paper • 2405.17604 • Published May 27, 2024 • 3

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 10
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24
GPT-4 Technical Report

Paper • 2303.08774 • Published Mar 15, 2023 • 7

LLM Reasoning & Planning Techniques

CoT, ToT, GoT, ReAct, ReWOO prompting techniques for LLM reasoning with implementation guidance and benchmarks.

deepseek-ai/DeepSeek-R1

Text Generation • 685B • Updated Mar 27, 2025 • 5.75M • • 13.4k
Qwen/Qwen2.5-Coder-32B-Instruct

Text Generation • 33B • Updated Jan 12, 2025 • 1.48M • • 2.03k
google/gemma-2-27b-it

Text Generation • 27B • Updated Aug 27, 2024 • 131k • • 568
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15

Language Models - Essential Research Papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 124
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 24
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 252

paper digestion

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 29
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 124
Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation

Paper • 2510.23581 • Published Oct 27, 2025 • 42

Toolkit - AI Papers

Neural Machine Translation by Jointly Learning to Align and Translate

Paper • 1409.0473 • Published Sep 1, 2014 • 7
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 124
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 29
Hierarchical Reasoning Model

Paper • 2506.21734 • Published Jun 26, 2025 • 54

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
Large Language Models Are Human-Level Prompt Engineers

Paper • 2211.01910 • Published Nov 3, 2022 • 1
Lost in the Middle: How Language Models Use Long Contexts

Paper • 2307.03172 • Published Jul 6, 2023 • 44
Large Language Models are Zero-Shot Reasoners

Paper • 2205.11916 • Published May 24, 2022 • 3

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Paper • 2006.03654 • Published Jun 5, 2020 • 3
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 29
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 10
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9, 2025 • 265
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 95
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 19

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