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Collections including paper arxiv:2309.05463

about 1 month ago

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 40
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 7
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 12

Code Evaluation

Collection of Papers on Code Evaluation (from code generation language models)

A Survey on Language Models for Code

Paper • 2311.07989 • Published Nov 14, 2023 • 21
Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 6
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Paper • 2310.06770 • Published Oct 10, 2023 • 4
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Paper • 2102.04664 • Published Feb 9, 2021 • 1

LLM Fundamental papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 40
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 10
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Paper • 2305.13245 • Published May 22, 2023 • 5
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 238

Beginner's Mind

Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 84
Neurons in Large Language Models: Dead, N-gram, Positional

Paper • 2309.04827 • Published Sep 9, 2023 • 16
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14 • 54

Dataset generation

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 141
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 84

Synthetic Data Generation

A curated list of papers focusing on synthetic data generation

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 46
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 84
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Paper • 2402.10379 • Published Feb 16 • 28
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Paper • 2312.06585 • Published Dec 11, 2023 • 27

Code LMs Evaluation

A Survey on Language Models for Code

Paper • 2311.07989 • Published Nov 14, 2023 • 21
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Paper • 2310.06770 • Published Oct 10, 2023 • 4
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Paper • 2401.03065 • Published Jan 5 • 10
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming

Paper • 2402.14261 • Published Feb 22 • 10

Visual In-Context Prompting

Paper • 2311.13601 • Published Nov 22, 2023 • 14
Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 141
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

Paper • 2308.08155 • Published Aug 16, 2023 • 2
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models

Paper • 2303.02927 • Published Mar 6, 2023 • 3

Small Multimodal Models

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 141
LLaVA-φ: Efficient Multi-Modal Assistant with Small Language Model

Paper • 2401.02330 • Published Jan 4 • 14
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 84
Visual Instruction Tuning

Paper • 2304.08485 • Published Apr 17, 2023 • 10

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning

Paper • 2401.06532 • Published Jan 12 • 10
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 84
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 46
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Paper • 2312.15685 • Published Dec 25, 2023 • 17

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